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₹1.2M INR", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 60434, "title": "EIR: Entrepreneur In Residence", "url": "https://www.ycombinator.com/companies/landeed/jobs/Xt8mnKh-eir-entrepreneur-in-residence", "location": "Hyderabad, TG, IN", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$20K - $60K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 65257, "title": "Business Development And Enterprise Sales (BDES)", "url": "https://www.ycombinator.com/companies/landeed/jobs/4l4knno-business-development-and-enterprise-sales-bdes", "location": "Hyderabad, TS, IN / Mumbai, MH, IN / Bengaluru, KA, IN / Chennai, TN, IN / DL, IN / Gurugram, HR, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "₹1M - ₹2.5M INR", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 65258, "title": "Operations Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/HYva7F4-operations-lead", "location": "Mumbai, MH, IN / Bengaluru, KA, IN / Hyderabad, TS, IN / Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹480K - ₹1.2M INR", "equity_range": "0.01% - 0.02%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 65259, "title": "Support Executive", "url": "https://www.ycombinator.com/companies/landeed/jobs/SZyQjR3-support-executive", "location": "Hyderabad, TS, IN / Mumbai, MH, IN / Chennai, TN, IN / Bengaluru, KA, IN", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "₹240K - ₹500K INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 65260, "title": "Content and Community Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/v2Wfj2O-content-and-community-lead", "location": "Hyderabad, TS, IN / Bengaluru, KA, IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹600K - ₹1.8M INR", "equity_range": "0.01% - 0.02%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 79527, "title": "Senior GIS Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/YZ8WIvS-senior-gis-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "₹900K - ₹2.5M INR", "equity_range": "0.01% - 0.03%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79528, "title": "Senior/Staff Frontend Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/XdJRjFi-senior-staff-frontend-engineer", "location": "Hyderabad, Telangana, India", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2M - ₹4M INR", "equity_range": "0.10% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "React", "React Native", "Next.js" ] }, { "id": 79600, "title": "Senior/Staff Engineer: Backend (India)", "url": "https://www.ycombinator.com/companies/landeed/jobs/v9JBNfn-senior-staff-engineer-backend-india", "location": "Hyderabad, Telangana, India", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹2.5M - ₹5M INR", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python" ] }, { "id": 84880, "title": "Legal Ops Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/MEoD32X-legal-ops-lead", "location": "Chennai, TN, IN / Chennai, Tamil Nadu, IN / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Ahmedabad, GJ, IN / Ahmedabad, Gujarat, IN / Pune, MH, IN / Pune, Maharashtra, IN / Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "₹400K - ₹1.2M INR", "equity_range": "", "experience": "11+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 85313, "title": "Ex-founder - Technical, India", "url": "https://www.ycombinator.com/companies/landeed/jobs/fFYK3Hd-ex-founder-technical-india", "location": "Hyderabad, Telangana, India", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹3M - ₹6M INR", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88432, "title": "Accountant", "url": "https://www.ycombinator.com/companies/landeed/jobs/tipcFfI-accountant", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Finance", "role_type": null, "salary_range": "₹360K - ₹420K INR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 91926, "title": "Associate Solutions Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/l7L0SeB-associate-solutions-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹600K - ₹800K INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95120, "title": "Customer Relationship Manager", "url": "https://www.ycombinator.com/companies/landeed/jobs/rwIYQSC-customer-relationship-manager", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹25K - ₹45K INR / monthly", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95121, "title": "Senior Customer Relationship Manager", "url": "https://www.ycombinator.com/companies/landeed/jobs/WBenvVy-senior-customer-relationship-manager", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹45K - ₹90K INR / monthly", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95828, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/5ER5jHm-product-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "₹1.5M - ₹3.5M INR", "equity_range": "0.10% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "React Native", "Data Analytics", "Evals" ] }, { "id": 95916, "title": "Member of Technical Staff - Post-Training Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/GL2b1aZ-member-of-technical-staff-post-training-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "₹2.5M - ₹4.5M INR", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Reinforcement learning (RL)", "Natural Language Processing", "Computer Vision", "LLMs", "Transformers", "Fine-tuning" ] }, { "id": 106709, "title": "Property Advisor - II", "url": "https://www.ycombinator.com/companies/landeed/jobs/Ay1U4eN-property-advisor-ii", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "₹730K - ₹1.01M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106710, "title": "VIP Client Advisor", "url": "https://www.ycombinator.com/companies/landeed/jobs/NV3HYUX-vip-client-advisor", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "₹880K - ₹1.22M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106711, "title": "Priority Case Manager", "url": "https://www.ycombinator.com/companies/landeed/jobs/MVVWBdh-priority-case-manager", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹780K - ₹1.06M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108452, "title": "People & Operations Associate (HR & Admin)", "url": "https://www.ycombinator.com/companies/landeed/jobs/SkrpiOU-people-operations-associate-hr-admin", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Operations", "salary_range": "₹500K - ₹750K INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Building trust in India’s property system through digitisation", "url": "https://www.moneycontrol.com/news/opinion/building-trust-in-india-s-property-system-through-digitisation-13750337.html", "date": "Dec 31, 2025" }, { "title": "Indian proptech at an inflection point: Panelists at VCCircle summit", "url": "https://www.vccircle.com/indianproptech-at-an-inflection-point-panelists-at-vccircle-summit", "date": "Oct 29, 2025" }, { "title": "Landeed: Mapping ownership through AI", "url": "https://www.newindianexpress.com/cities/hyderabad/2025/Oct/09/landeed-mapping-ownership-through-ai", "date": "Oct 08, 2025" }, { "title": "Landeed: Mapping ownership through AI", "url": "https://www.newindianexpress.com/cities/hyderabad/2025/Oct/09/landeed-mapping-ownership-through-ai", "date": "Oct 08, 2025" }, { "title": "Landeed Introduces Zero-Fee Bill Payments Feature for Property Transactions", "url": "https://www.rprealtyplus.com/allied/landeed-introduces-zero-fee-bill-payments-feature-for-property-transactions-119421.html", "date": "Apr 03, 2025" } ], "launches": [ { "id": 100213, "title": "🏠 Terra: Turning Indian property from a who-you-know market into a what-you-know market.", "tagline": "Indian property, finally legible. ", "body": "Today we're launching Terra: the thing we've wanted to build since day one.. If you caught our original launch: you know we've spent three years building India's property infrastructure. More than a million people use Landeed monthly searching millions of properties and growing at an increasing pace. The result of that work is Terra - India’s first and most intelligent property AI trained on 500M+ title documents. 24 states. 22 languages.\n\nEven more importantly, we built Terra on the foundations of our groundwork not guesswork. The answers are backed by verifiable records from regulatory registries and ground truth minimizing hallucination risks. Furthermore, this is the third major launch from Landeed Labs (our internal AI division) after AITSR our flagship product for enterprises which has now evolved into Terra Black.\n\nCheck it out below:\n\n\n\n**Here's what's broken.**\n\nIndia is two markets stitched together: _who you know_ and _what you know_. Most of India's economy has shifted toward what-you-know over the last twenty years. Real estate has not. It is the most extreme who-you-know market in the country.\n\nWho you know determines what you can buy, what price you pay, what risks you discover, and whether your title holds up in court. If you have the right cousin in the registrar's office, the right lawyer in the right city, the right broker who owes you a favor — you have edge. If you don't, you're flying blind with your life savings.\n\nThis is why India has $10 trillion in property and most of it is **dead capital** — Hernando de Soto's phrase. You own it but you can't prove it. You inherit it but you can't read it. You want to buy it but you can't verify it. Many call this dead capital but at Landeed we call this just another Tuesday. The data was always there. It was just illegible, scattered across 28 state systems, locked in 22 languages, and impossible to reason about.\n\n**Here's what we built.**\n\nTerra is the first product that makes data competitive with relationships in Indian property — and wins.\n\nYou just talk to it. In English, Hindi, Telugu, Tamil — whatever you think in.\n\n\"Find me 2BHK apartments in Gachibowli under 1 crore and with nice gym.\" Or drop the link or url from your favorite listing to explore more about the property in detail like guideline value or average rentals. Terra shows you real listings across all aggregated from listings platforms, helps you create watchlists, calculate price trends and check property risks all in one screen in real time in one conversation.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/c59d4a61-5060-44eb-bdc9-ee30b31e2d74)\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/4a929008-2772-42f7-b0a8-bd7e19e4f86b)\n\n\"Who has owned that property since it was built?\" Ownership tree. Every transaction. Linked to source documents you can open.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/6a4338fb-af05-4c24-bc80-0d5dc9e3b049)\n\n\"Are there any encumbrances or legal issues?\" Light diligence in minutes. Not a lawyer's 2-week report.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/b035d906-223a-4a67-8b4f-3305132df9d4)\n\n\"Compare this to the one in Kondapur I was looking at yesterday.\" Side by side.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/7914e052-0078-469a-9947-e2af051b4f7d)\n\nUnder the hood: a system of specialized AI agents working in parallel. Live integrations with 24 state governments. Proprietary OCR for 22 Indian languages including handwritten records from the 1980s. Terra doesn't guess. It reads the actual government records — the same ones a lawyer would read — and reasons about them in real time.\n\n**One moment that shows what this unlocks.**\n\nA user told Terra about his property next to a biryani shop in Chennai. Terra pulled the documents _and_ found a municipal announcement from that week — the user was now eligible to build additional square footage on his existing plot. He didn't know to ask. Terra found it anyway.\n\nThat's the point. Terra doesn't just answer questions. It tells you things you didn't know to ask.\n\n**Early traction.**\n\nSoft-launched on web a month ago. 50,000 users showed up without a rupee of paid acquisition.\n\n**Try it:** [https://web.landeed.com/terra](https://web.landeed.com/terra?thread=a3c27682-da8c-462a-8855-5d2ebcd80632) or download our app from play store or iOS\n\n**What we want from the community:**\n\n* Know anyone buying, selling, or inheriting property in India? Send them to Terra. Especially NRIs — they have the worst version of this problem.\n* Know a bank, NBFC, or real estate operator in India? We have Terra Black (enterprise API) already running with HDFC Bank, Hero FinCorp, Amazon India, Vastu Housing, and others. Warm intros welcome: [sanjay@landeed.com](mailto:sanjay@landeed.com)\n* Feedback, ideas, critiques — send them straight to us.\n\nIndia's property market has been a who-you-know game since the British left. Terra is how it finally becomes a what-you-know market. We make this inevitable. 🐂", "url": "https://www.ycombinator.com/launches/Q4L-terra-turning-indian-property-from-a-who-you-know-market-into-a-what-you-know-market", "votes": 107, "created_at": "2026-04-25T15:27:09.197Z" }, { "id": 89737, "title": "Landeed Bill Pay: Property bills, tax, and documents — handled in one app", "tagline": "India's first property super-app: pay property tax, electricity, water & more — all linked to your property", "body": "**🏡 We’re Landeed — the fastest way to access property documents _and_ pay property-related bills in India**\n\nHey YC — we’re the team behind **Landeed**, a property super-app used by over 1 million people across India to instantly retrieve legal property documents like Encumbrance Certificates, Survey Maps, and Sale Deeds.\n\nToday we’re launching **Landeed Bill Payments** — a major upgrade that lets users instantly pay for all their property-related bills, directly in the same app.\n\n---\n\n### ❌ The Problem\n\nIndia’s government has digitized property documents — but property _bill payments_ are still a mess.\n\nEvery billing cycle, property owners deal with:\n\n* 3–5 broken government portals (BBMP, BESCOM, BWSSB, etc.)\n* Clunky UIs with mismatched property IDs and consumer numbers\n* OTP loops, failed UPI/card transactions, no real support\n* No central history or receipts\n\nIt’s painful for anyone — and 10x worse for landlords managing multiple properties across cities.\n\n---\n\n### 🧑‍💼 Meet Ramesh, a typical Bangalore landlord\n\n![uploaded image](/media/?type=post&id=89737&key=user_uploads/95984/6f635ff1-7dea-4270-bc01-3526f95f8022)\n\n### ✅ Our Solution\n\nWe built **Landeed Bill Payments** right into the same app our users already trust for property documents.\n\nNow users can:\n\n* 💡Instantly pay **Property Tax, Electricity, Water, Gas, Broadband**\n* 💳 Use **UPI, cards, or wallets**\n* 🏙️ Access **20+ utility boards** across India\n* 📂 Automatically save receipts per property\n* 📈 View full **payment history** across all properties\n\nNo logins, no portal hopping, no stress.\n\n---\n\n### 💡 Why Now\n\nIndia digitized land records — but not the ownership experience.\\\nYou can _see_ your property online. But you can’t act on it.\n\nWe’re building the **operating system for property ownership** — starting with documentation, and now enabling transactions.\n\n---\n\n### 🚀 Traction\n\n* 1M+ users across 400+ districts\n* Cover 24 states and union territories in India\n* Live integrations with 20+ major utilities & DISCOMs\n* Multi-lingual support and over 12 vernacular languages supported\n\n---\n\n### 🎥 Product Demo\n\n\n\n> _See how Ramesh pays 3 bills in under 60 seconds, directly from his property dashboard._\n\n---\n\n### 🙌 What You Can Do\n\n* **Try it now**: — no fees, no logins\n* **Share this** with landlords, real estate operators, or civic tech folks\n* **Talk to us**: [founders@landeed.com](mailto:founders@landeed.com)\n\nThanks for checking us out — we’d love your feedback and intros.", "url": "https://www.ycombinator.com/launches/NLN-landeed-bill-pay-property-bills-tax-and-documents-handled-in-one-app", "votes": 100, "created_at": "2025-04-22T14:56:32.985Z" }, { "id": 72566, "title": "Landeed XF (LXF): Founder's real estate concierge 🚀", "tagline": "Real Estate reimagined for Founders by Founders 🤝", "body": "# **Landeed XF (LXF): Your Ultimate Real Estate Ally!**\n\n**Quick Summary:** Landeed is thrilled to launch LXF! We present an all-encompassing real estate solution tailored for founders, ensuring hassle-free accommodation and workspace solutions, along with legal support for your company setup. No deposits, no brokerage fees, just an annual contract that bundles everything you need into a single monthly invoice.✨\n\n## **💥 What’s The Issue?**\n\nFounders are swamped with responsibilities and need to be laser-focused on their vision. Real estate complications, finding the perfect workspace, and dealing with legal requirements for company setup are all distractions that no founder needs. The market lacks an efficient, all-in-one solution that caters specifically to the founders' real estate and legal needs. Landeed XF is here to change that.\n\n## **🎯 Here’s What We Offer**\n\nLandeed XF is your one-stop solution, specially curated for founders looking to set their foot in India and vice versa. We’re here to enable you to hit the ground running.\n\n🧾 **Single Monthly Payment Mechanism**: Experience the simplicity of our financial structure. No deposits or brokerages; only transparent, all-inclusive monthly invoicing.\n\n🏡 **Move-in Ready Living Spaces**: No more endless apartment hunting or paperwork. Live comfortably in our fully-furnished apartments and enjoy single monthly payments sans any brokerage fees.\n\n👩‍💻 **Workspace That Matches Your Drive**: Choose from a range of coworking spaces and private offices, ensuring your workspace is conducive to your vision. We find the best locations for you and your team!\n\n👩‍⚖️ **Legal Entity Structuring**: Our expert partners will guide you through the complex maze of legal entity structuring between the US and India. We’ve negotiated discounted fees for you.\n\n🛂 **Hassle-free Company Setup**: We manage all the administrative tasks such as entity formation and government registrations, so you can focus on what matters most – your startup.\n\n⏩ **Fast-Track Your Launch**: Don’t let delays hinder your momentum. Our efficient lease negotiations and expedited legal processes mean you can be operational in just 2 weeks!\n\n## **📢 Landeed + YC Founders = Unstoppable Force**\n\nWe're on a mission to pave the way for your startup’s triumphant journey in India. With Landeed XF by your side, you can leave the real estate and legal complexities to us, and focus on what you do best – building and scaling your business.\n\n## **🎉 YC Exclusive Deal! 🎉**\n\nAs a special launch celebration, we’re excited to offer an exclusive deal for our YC community! Find out more about this limited-time offer [**here**](https://deals.ycombinator.com/deals/1847).\n\n## **🤝 Let’s Get Started**\n\nReady to take the leap? We’d love to hear from you. Reach out to [**namansrivastava@landeed.com**](mailto:namansrivastava@landeed.com) and let's explore how Landeed XF can propel your startup to new heights.\n\nJoin us on this exciting journey. Landeed XF is here to revolutionize real estate for founders! 🚀💡🏢", "url": "https://www.ycombinator.com/launches/IsQ-landeed-xf-lxf-founder-s-real-estate-concierge", "votes": 90, "created_at": "2024-01-09T22:13:42.397Z" }, { "id": 65182, "title": "🌆Landeed: Do you own your property in India? Are you sure? Let's check 🕵🏽", "tagline": "Landeed is India's first, fastest and only multi-state property title checker🥇 ", "body": "**TL; DR We make it easy for real estate agents, owners, developers, bankers and legal advisors to instantly check property titles. Our Landeed** [**app**](https://www.landeed.com/) **retrieves government generated Encumbrance Certificate (EC) within seconds. This document summarizes all present and past transactions pertaining to a property going back multiple decades.**\n\nNamaste 🙏🏽 we are Jonathan, ZJ and Sanjay, the three musketeers fighting for your land rights. This is our second YC startup together and have known one another for 7 (lucky) years.\n\n### **💀** **Serious Problem 🚨**\n\nApproximately 67% of all court cases in India deal with land-related disputes. This is due to India’s legal framework of “presumptive ownership.” Under this model, the due diligence on property purchases falls on the buyer with government claiming no responsibility. Furthermore, there is no concept of a single “title document” leading to prolonged due diligence phase ranging from 2-6 months whereas most property transactions in US can be concluded in 2-4 days.\n\n### 🧪**Landeed Solution ⚡**\n\nLandeed is a national property title search engine. Use our [app](https://www.landeed.com/) and check property transaction ledger going back 20 years in 2 seconds. Think of it as “Google of real estate titles.” We built a standardized interface simplifying the multiple search methods across states into an intuitive and fluid user experience. Next up, Landeed for the world not just India!\n\n### 🪄**Let’s talk about the magic 👏🏽**\n\nLandeed weaves together multiple government departments across various states producing a “plaid-like” property summary data. Whereas government platforms focus on taxing users for civic micro-services and document generation, our product is built around specific user profiles that have strong intent to transact. The end-result of this approach is a consumer-centric product with enterprise capabilities. Search property titles 10x faster guaranteed or money back ! (it’s free for YC)\n\n### 🤵🏽**Damn I look good (the app)** 📲\n\n![landeed app encumbrance certificate screenshot 1](https://static.wixstatic.com/media/acf78d_f957a692fca24048b10ea00073c1a49a~mv2.png/v1/crop/x_736,y_180,w_1037,h_2120/fill/w_238,h_488,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/ec_details_portrait.png)\n\n![landeed app encumbrance certificate screenshot 2](https://static.wixstatic.com/media/acf78d_92d55dce18e54a0e8c491f12cceb502a~mv2.png/v1/crop/x_731,y_171,w_1041,h_2128/fill/w_238,h_488,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/webview_portrait.png)\n\n🗺️And yes, we support multiple states (Home court advantage: TS 🏏)\n\n🙏🏽Asks\n\n1. Download Landeed [app](https://www.landeed.com/) if you or anyone that you know have property in India\n2. Request a state to launch if we are not currently covering it! We have a high demand waitlist and are constructing our build plans accordingly\n3. Follow us on [twitter](https://twitter.com/LandeedInc?s=20&t=nWcLlnd9LyDH_vTopux4wA) and give us your feedback. It’s still day zero at Landeed.\n4. If you have any other feedback, we’d love to hear it at [founders@landeed.com](mailto:founders@landeed.com)\n5. And of course, if you feel what we are building is impactful, we would appreciate the upvote!\n6. Full disclosure and request: Do not illegally trespass, set up meat shacks (it will be bulldozed 🐂) or try to sell our lands without our express written consent and permission\n7. Nothing to see here except it’s our lucky number and proof that some of you have read all the way to the end. If so, slack or email Jonathan, ZJ or Sanjay simply with the message “7\" and get a surprise gift from us 🧧🎁", "url": "https://www.ycombinator.com/launches/GxK-landeed-do-you-own-your-property-in-india-are-you-sure-let-s-check", "votes": 913, "created_at": "2022-08-07T08:56:12.741Z" } ] }, { "id": 28093, "name": "Common Paper", "slug": "common-paper", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a5fd0218aaaf79164dd214261cfc4cec6d668f8.png", "website": "https://commonpaper.com/", "all_locations": "Philadelphia, PA, USA; Remote", "long_description": "Common Paper is a contracting platform that helps startups close deals with their customers faster and with less risk.\r\n\r\nWe create standard, open-source contracts for commercial transactions, including NDAs, DPAs, and sales agreements. These are analogous to the SAFE, but are between customers and vendors rather than investors and startups. The standardized format means that data within contracts is structured from inception. \r\n\r\nWe build software for managing standard contracts, accelerating sales cycles, and making the data within the contracts programmatically accessible to other business systems.\r\n\r\nTens of thousands of people have downloaded our standard contracts, and 63% of the contracts on our system close within 24 hours.", "one_liner": "The SAFE for commercial contracts", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1671143047, "tags": [ "SaaS", "Open Source", "Sales", "Legal", "LegalTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/common-paper", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/common-paper.json", "year_founded": 2020, "city": "Philadelphia", "country": "US", "linkedin_url": "https://www.linkedin.com/company/common-paper", "x_url": "https://twitter.com/UseCommonPaper", "fb_url": "https://www.facebook.com/profile.php?id=100076076826750", "cb_url": "https://www.crunchbase.com/organization/common-paper", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a5fd0218aaaf79164dd214261cfc4cec6d668f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1205428, "full_name": "Benjamin Garvey", "title": "Founder", "founder_bio": "CTO @ Common Paper. Formerly RJMetrics / Magento / Adobe / Betterment. Loves charts and Twin Peaks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bengarvey/", "x_url": "https://twitter.com/bengarvey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c76a1a77362c395ecce325293e9753715b7e0dc2.jpg" }, { "user_id": 71220, "full_name": "Jake Stein", "title": "Founder", "founder_bio": "Jake Stein is co-founder and CEO of Common Paper. Previously, he was co-founder of RJMetrics (acquired by Magento, then Adobe) and Stitch (acquired by Talend). \n\nBefore RJMetrics, Jake worked in venture capital, started a landscaping business in high school, and was the 44th ranked table tennis player under 21 in New Jersey; achievements of which he is equally proud.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jakestein/", "x_url": "https://twitter.com/jakestein", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe4eced33a0dc54b656cc2b6bcf6ac89f87d8730.jpg" } ], "jobs": [], "news": [ { "title": "Common Paper's founders are halfway through Y Combinator's winter cohort. Here's what they've learned so far - Technical.ly", "url": "https://technical.ly/startups/common-paper-y-combinator/", "date": "Feb 27, 2023" }, { "title": "Common Paper Launches SaaS Agreement Toolkit to Help Drive Standardisation – Artificial Lawyer", "url": "https://www.artificiallawyer.com/2022/12/06/common-paper-launches-saas-agreement-toolkit-to-help-drive-standardisation/", "date": "Dec 06, 2022" }, { "title": "Meet Common Paper, the software startup from Jake Stein and Ben Garvey to streamline legal contracts - Technical.ly", "url": "https://technical.ly/software-development/common-paper-jake-stein-ben-garvey/", "date": "Jun 14, 2021" } ], "launches": [ { "id": 99518, "title": "Gerri 2.0 - The AI Agent for Contracts from Common Paper", "tagline": "Put your redlines on autopilot", "body": "Most AI contract tools are built to support a single lawyer working within Word. [Gerri is built for everyone with a stake in getting a deal signed.](https://www.getgerri.ai/) \n\n2 minute intro:[ youtube.com/watch?v=QL4nIETkZnY](https://www.youtube.com/watch?v=QL4nIETkZnY) \n\n3 minute demo:[ loom.com/share/ac7906243ce340159797af888488cb6b](https://www.loom.com/share/ac7906243ce340159797af888488cb6b)\n\n**Background:**\n\nMore than 10,000 companies have used Common Paper to close deals over the past few years. While the standards have helped, we keep hearing how painful the redline process is. The root cause is that contract negotiation is a team sport, but most tools are built for one player.\n\nMost teams end up in one of two camps:\n\n* Every redline goes to the attorney, which is expensive and slows deals down\n* Redlines get triaged first, usually by someone in sales or ops, and contracts are one of 10 things they have on their plate\n\nWhat's missing is a system where AI does the first read, loops in the right people when needed, and pulls all of their feedback into a new draft that can be sent back to the other side. \n\nThat's Gerri.\n\n![uploaded image](/media/?type=post&id=99518&key=user_uploads/71220/c7e0519b-5c7b-46d2-8456-3ecbb0a4b5b4)\n\n\n**How it works:**\n\nContracts get into Gerri three ways: upload, forwarded email, or direct inbox scanning. From there:\n\n* Gerri reads every redline against your playbook and automatically accepts, rejects, or counterproposes anything it can handle\n* Anything outside the playbook gets routed to the right person. That might be legal for indemnity questions, finance for payment terms, VP of Sales for commercial terms, etc.\n* Every AI decision cites the specific playbook rule behind it; every human override is logged\n* Gerri edits the Word doc directly and can add comments in your name, explaining the reasoning to the other side\n\nGerri typically reviews contracts before you even know they've arrived. You'll open your inbox, see a contract, and find it's already been handled.\n\n**What's new in 2.0:**\n\n* 10X faster processing engine. 90% of contracts reviewed in under 3 minutes.\n* Any contract type: your paper, their paper, standard or custom agreements\n* Personality Settings: set custom instructions that guide Gerri's behavior across all contracts, without editing individual playbook rules\n* Template Improvement: Gerri analyzes your negotiation history and suggests changes to your outgoing templates that proactively reduce future redlines. The more you use it, the smarter your paper gets.\n* Optional attorney review add-on: flat fee, 4-hour turnaround guarantee, for when you need a human in the loop\n* Available as a standalone product at [getgerri.ai](http://getgerri.ai)  - No other Common Paper subscription required\n\n![uploaded image](/media/?type=post&id=99518&key=user_uploads/71220/304536b5-ce30-400e-8036-e43eb4c63ce3)\n\nTry it free at [getgerri.ai](http://getgerri.ai)", "url": "https://www.ycombinator.com/launches/Pt8-gerri-2-0-the-ai-agent-for-contracts-from-common-paper", "votes": 11, "created_at": "2026-04-07T16:48:35.875Z" }, { "id": 94771, "title": "Gerri - The AI Agent for Contract Redlines", "tagline": "Get your contracts reviewed before you even realize they’re in your inbox", "body": "We’re Jake and Ben, co-founders of Common Paper.  We just launched Gerri, the AI agent for redlines. [Try it out here and get three contracts reviewed for free](https://commonpaper.com/product/ai-agent).\n\nhttps://www.youtube.com/watch?v=QL4nIETkZnY\n\n## Problem\n\nCommon Paper started by creating [standard agreements](https://commonpaper.com/standards/) that have been signed by more than 10,000 companies and used to close more than $100 million dollars in deals. We also make contract management software for customizing, signing, and tracking agreements with customers and partners.\n\nAs companies scale, more and more of their sales teams’ time is spent dealing with contract redlines from their customers.  After talking seeing the problem close up at countless companies, we found that most folks fall into one of two camps:\n\n* Every contract redline gets sent to their attorney, which is expensive and adds delays\n* Nothing gets sent to the attorney, and the founder, sales, ops, or other non-lawyer handles all redlines. This creates a significant risk when they don’t know what they don’t know about risks in contracts\n\nA better approach is to have AI do a first read of each contract and then triage the redlines so that as much as possible is handled automatically, and then if anything remains, assign it to the right person. That’s what we built with Gerri.\n\n## Solution\n\nThere are three ways contracts get into Gerri:\n\n* Upload\n* Forward an email with attachment\n* Have Gerri scan your team’s inboxes for redlined contracts and automatically review them as they come in\n\nOnce Gerri gets a contract, it compares it to your playbook, which contains rules about what you will and won’t accept, how you respond to asks, comments to leave in the doc, etc. Gerri includes a demo playbook to help you get started, and you can chat or answer questions to have Gerri help you generate your own custom rules.\n\nGerri then either\n\n* Responds with a clean contract that’s ready to send back to the other side.  Gerri automatically accepts, rejects, counter-proposes, and leaves comments for the other side.  \n* Flags which redlines can’t be handled automatically, and notifies the right people for them to weigh in. For example, it might be your lawyer for indemnity issues, CS lead for renewal terms, and IT for special security procedures/certifications.\n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/c61e5a05-75a4-4f95-a66d-cf4f618bb057)\n\nEach time a human weighs in, they can make a decision for just this one case or have Gerri generate a rule to handle this decision going forward. \n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/a1877eb9-5798-4ba5-8b31-eac429cd02b1)\n\nThe end result is your contracts get reviewed before you even realize they’re in your inbox, and deals close faster.\n\n[Check out Gerri and get three contracts reviewed for free. ](https://commonpaper.com/product/ai-agent) \n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/8cd882ae-a79f-4280-8303-da34655ee66b)\n\n", "url": "https://www.ycombinator.com/launches/OeZ-gerri-the-ai-agent-for-contract-redlines", "votes": 19, "created_at": "2025-10-20T16:10:06.039Z" }, { "id": 68207, "title": "📃 Common Paper - Faster sales with standard contracts & structured data 📃", "tagline": "Common Paper helps startups close deals with their customers faster and with less risk. ", "body": "TLDR: If you want to close deals faster/shorten your sales cycles with standardized contracts and a platform that helps eliminate back and forth, [we’d love for you to try us out](https://commonpaper.com/)!\n\n# Background\n\nWe (Jake and Ben) met while working together at a BI startup called RJMetrics. Jake was a co-founder, and Ben was an engineering leader. At that job and others, we were incredibly **frustrated by contract negotiation**. The process was filled with:\n\n* **⏳ Unpredictable delays**\n* **💰 Huge legal bills**\n* **🥽 Extremely limited visibility**\n\nWe realized that founders and go-to-market teams have many of the same problems with sales that were widespread in startup fundraising before the introduction of the SAFE. Each company has a unique sales or procurement contract (and NDA, DPA, etc).  People argue over whose template to use, and **no matter who wins that argument, one side of the deal has to review and negotiate a new contract for the first time**.\n\nThe same basic ideas show up in all contracts about a given type of transaction, but they are expressed totally differently.  As an example, take governing law, one of the simplest terms in most contracts.  These are real examples from four contracts, showing four different ways describe governing law:\n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/b869c8db-5099-478e-855d-b34c5b28bf55)\n\n# Standard Contracts & Structured Data\n\nTo solve this, we looked to the SAFE and other widely used contracts for inspiration and created standard, open-source contracts for buying and selling software, including:\n\n* [Design Partner Agreement](https://commonpaper.com/standards/design-partner-agreement/)\n* [Mutual NDA](https://commonpaper.com/standards/mutual-nda/)\n* [Terms of Service](https://commonpaper.com/standards/terms-of-service/)\n* [Cloud Service Agreement](https://commonpaper.com/standards/cloud-service-agreement/) \n* [Data Processing Agreement](https://commonpaper.com/standards/data-processing-agreement/), [Service Level Agreement](https://commonpaper.com/standards/service-level-agreement/), and more\n\nThese contracts have been downloaded by thousands of companies, are created by a committee of attorneys, and are free to use under a Creative Commons license. \n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/bc9fd4c5-56c8-48ed-8ab2-dd024fa5b974)\n\nUsing standard contracts reduces back and forth, accelerates sales cycles, and makes it easier for everyone involved to understand what the contracts actually mean.\n\nIn addition to the contracts themselves, we’ve built a new kind of [contract management platform](https://commonpaper.com/product/) for startups.  It makes automation, negotiation, and programmatic access to contract data all way faster and easier than ever before. These kinds of tools have traditionally been built for managing unstructured text, and we’ve built Common Paper on top of the **standards and structured data**. \n\n**⌚ 63% of the deals on our platform close within 24 hours ⏲️**\n\nWe also built the [SaaS Agreement Toolkit](https://commonpaper.com/resources/saas-agreement-toolkit), which combines the standard agreements with step by step guides to help founders:\n\n* Choose which contracts to use based on their stage and business model\n* Understand the meaning of different terms within the contracts\n\nThe toolkit also includes a benchmark report based on the real contracts of more than 150 companies, with data on what positions are most common and how different terms influence the odds of getting your contract signed.\n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/b4ae10b3-d5bf-4439-b700-df82cb92e521)\n\nIf you want to shorten your sales cycle, save money, and reduce risk with standardized contracts and a platform that helps eliminate back and forth, [we’d love for you to try us out](https://commonpaper.com/)!", "url": "https://www.ycombinator.com/launches/Hk7-common-paper-faster-sales-with-standard-contracts-structured-data", "votes": 63, "created_at": "2023-01-05T15:31:08.561Z" } ] }, { "id": 28854, "name": "Docsum", "slug": "docsum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbf3c5f2937adf8242a332b8bfc9fbaa18073e3.png", "website": "https://www.docsum.ai/", "all_locations": "New York City, NY, USA", "long_description": "Docsum is a contract intelligence platform designed for legal and finance teams. Using AI, Docsum extracts critical data like renewal dates, obligations, and more into a searchable database. The platform is fully customizable with features like custom field reporting, alerts, and playbook-powered redlining. Getting started is simple—upload contracts or connect Docsum to tools like Google Drive, DocuSign, and more.", "one_liner": "AI contract repository", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1689290654, "tags": [ "Documents", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/docsum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/docsum.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/docsum", "x_url": "https://twitter.com/DocsumAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbf3c5f2937adf8242a332b8bfc9fbaa18073e3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1402995, "full_name": "Shaunak Turaga", "title": "Founder", "founder_bio": "I'm serving as CEO and co-founder of Docsum (S23). I have a background as a developer, product manager, and founder at places like Pacaso, OpenTrack, Capital One, and IBM.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shaunakturaga", "x_url": "https://twitter.com/shaunakturaga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/191f11e55712feee11bc7f5f8196473c9024219b.jpg" }, { "user_id": 332166, "full_name": "Alex Leonov", "title": "Founder", "founder_bio": "I’m serving as CTO and co-founder of Docsum (S23). I make contracts suck less by building ruthlessly efficient systems that turn legal spaghetti into structured intelligence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-l-leonov/", "x_url": "https://twitter.com/AlexLLeonov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e857c19807de5a9f903ce2e09f4a65860f9e77a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73084, "title": "🔍 Docsum - AI contract reviewer for legal teams", "tagline": "Supercharge your contracting workflows from review to negotiation by 3x", "body": "**TL;DR:** [Docsum](https://www.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch) is an AI contract review and negotiation platform. With Docsum, legal, procurement, and sales teams can negotiate and manage contracts 3x faster, to reduce the time to close and win more deals. Docsum works by analyzing and redlining contracts using configurable playbooks owned by lawyers. [Start reviewing your contracts now.](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n\n**Problem**\n\n* Sales teams often own the contracting process from reviewing NDAs to sending out MSAs. **Sales teams are motivated to respond to clients quickly and reduce their time to close** but their ability to review and respond to contract redlines is contingent on collaboration with their legal counsel. **This process can be expensive, time consuming, and hard to manage.**\n* For smaller teams, basic contract review and contract negotiation services with external counsel can be incredibly expensive and time consuming.\n* For larger organizations, in-house counsels are burdened by high matter volumes that often position them as bottlenecks within sales cycles.\n\n### **Docsum — an AI legal copilot for sales teams**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/deadeee1-6bfc-449f-bcac-14ce40fbeed9)\n\n* **Review**: Use Docsum to upload a legal contract and get a comprehensive **summary and ask to our AI attorney questions.**\n* **Analyze**: Get a list of potential red flags and proposed redlines to negotiate with.\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/ee9eca02-f2c7-4c08-8b17-a452edca617a)\n\n* **Playbook**: Upload your redlined contract to get advice on how to respond with **suggested resolutions** sourced from your organization’s configured playbook or from our pre-configured playbook trained by our human attorneys.\n\n### **How is Docsum different?**\n\n* **Extensible**: Currently, we are focused on being the best-in-class legal analysis and contract negotiation tool. We believe we can integrate into your existing contract life cycle processes.\n* **🔌 Interoperable**: We believe the best solutions are integrated where people work so we plan to build an eco-system of tooling which includes our **web application, native Word + Google plugins**, where legal and sales teams work.\n* **💪🏽 Collaborative**: We believe that legal teams are essential for creating and preserving value for organizations. Our hope is to enable organizations to engage their legal counsel in a more strategic and efficient manner. We aren’t trying to replace lawyers with AI.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/041fefbc-316e-4285-958f-947c170c09af)\n\nWe’re [Shaunak](https://www.linkedin.com/in/shaunakturaga/) and [Alex](https://www.linkedin.com/in/alexander-l-leonov/). We’ve been best friends since college and the picture above is us bartending in a horse trailer bar that we built called [Barbox](https://www.instagram.com/barboxraleigh/) — a premium event bartending business which we sold last year.\n\nShaunak has experience as a developer and product manager at Pacaso, OpenTrack, Capital One. Alex has experience as a developer and architect at Pacaso and Fidelity. We worked on growth and global expansion while at Pacaso.\n\n### **Our Ask**\n\n* **Sign up today:** Do you deal with sales contracts? [Sign up to try Docsum today](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n* **Connect with us:** Do you know of any founders, CROs, sales leaders, deal desk teams, general counsels, or transactional attorneys that might be interested in reducing their time to close and achieve more efficient contracting workflows? We would be most grateful if you can connect us! Email us at [founders@docsum.ai](https://mailto:founders@docsum.ai)", "url": "https://www.ycombinator.com/launches/J0m-docsum-ai-contract-reviewer-for-legal-teams", "votes": 36, "created_at": "2023-07-14T18:09:12.155Z" } ] }, { "id": 28966, "name": "Pincites", "slug": "pincites", "former_names": [ "Pincite" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66314affa2a18460ebaf6082abe1eba1272e5498.png", "website": "https://www.pincites.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Pincites makes contract negotiations faster and more consistent for legal teams. Using LLMs, Pincites takes a first pass at reviewing contracts, helping lawyers focus on riskiest parts of their negotiations.", "one_liner": "Close deals faster with AI for contract negotiation", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1688690921, "tags": [ "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pincites", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/pincites.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pincites", "x_url": "https://twitter.com/pincitesai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pincites", "github_url": "https://github.com/pincites/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66314affa2a18460ebaf6082abe1eba1272e5498.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/babc88426c04b5cb0d84d39804912b34c477d9d1.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1369076, "full_name": "Sona Sulakian", "title": "Founder", "founder_bio": "Building Pincites (S23) to make contract negotiation faster with AI. Previously a transactional attorney, patent attorney, and a strategic consultant for legal tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sonasulakian/", "x_url": "https://twitter.com/sonasulakian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b87e1a280754f3df8bcad372d0177f5454b5db94.jpg" }, { "user_id": 1382487, "full_name": "Mariam Sulakian", "title": "Founder/CTO", "founder_bio": "Co-founder of Pincites (acq). Previously product at GitHub and eng at Meta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ms-", "x_url": "https://twitter.com/mariamsulakian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c502e1726878dbcb73d6cc594864a84b9f25ec5c.jpg" } ], "jobs": [], "news": [ { "title": "Filevine acquires Pincites to bring legal AI directly into Microsoft Word", "url": "https://www.prnewswire.com/news-releases/filevine-announces-lois-for-word-as-it-acquires-pincites-302660674.html", "date": "Jan 14, 2026" }, { "title": "Pincites raises $3m seed round | Pincites Blog", "url": "https://www.pincites.com/blog/pincites-raises-usd-3m-seed", "date": "Sep 07, 2023" } ], "launches": [ { "id": 73190, "title": "📌 Pincites: AI-powered contract negotiation", "tagline": "Close deals faster with AI for contract negotiation", "body": "![uploaded image](/media/?type=post&id=73190&key=user_uploads/1369076/99d0dd8f-5228-4ca6-8942-695b81f0605c)\n\nHello! We’re [**Sona**](https://www.linkedin.com/in/sonasulakian/), [**Mariam**](https://www.linkedin.com/in/ms-/), and [**Grey**](https://www.linkedin.com/in/greysteil/)—a team of attorneys, security experts, and AI specialists. We’re on a mission to speed up contract negotiation.\n\n### **❌** Problem\n\n* **Sales negotiations get bottlenecked on legal review**. Sales teams must pause deals while they wait for legal teams to redline and finalize customer agreements.\n* **Unfriendly terms slip through the cracks**. Legal teams can’t ensure that contracts align with company standards _and_ minimize risk when working under time pressure.\n* **Nonstandard language makes understanding your contracts hard.** Lawyers can phrase the same idea in thousands of different ways. At scale, it's difficult to track contract details and negotiation outcomes.\n\n## 💡 Our solution\n\n* **A Word add-in that ensures guidance is available where and when it's needed.** Using the latest large language models, Pincites allows legal teams to build contract playbooks that any internal team can apply consistently within Microsoft Word using our Word add-in. \n* **An AI-powered onboarding flow that turns existing contracts into playbooks.** Simply upload your template, add guidance, and begin redlining. Unlike previous legal tech, manual tagging or model training is unnecessary because Pincites tags clauses based on their semantic meaning.\n\n## **✨** How we help\n\n* **Amplify your legal team’s impact.** Our AI solution surfaces relevant guidance for all teams to quickly review and negotiate contracts using their companies' approved terms. Non-legal teams can securely process contracts, while freeing up legal teams to focus on more critical matters.\n* **Flags key risks for review.** Pincites highlights deviations from your standard language and missing clauses in your contracts. We compare each clause to your standard language, providing insights on variations and associated risk levels. We offer guidance for each variation, ensuring you can align on the right language and conveniently access relevant guidance as you work.\n* **Standardize contracting language and processes.** Pincites serves as a central place for legal teams to define standard guidance that is then embedded in Microsoft Word for easy access by any internal team.\n\n## 🙏 We’re looking to connect with legal teams! \n\n* Refer us to your in-house attorneys at [founders@pincites.com](mailto:sona@pincites.com)\n* Book a 20 minute demo [here](https://calendly.com/pincites/demo)", "url": "https://www.ycombinator.com/launches/J2U-pincites-ai-powered-contract-negotiation", "votes": 28, "created_at": "2023-07-18T19:24:30.580Z" } ] }, { "id": 29152, "name": "Cembla", "slug": "cembla", "former_names": [ "Taylor", "Taylor AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41b0a27e54d4ae8ccb5d6d44522528df85b7ed7a.png", "website": "https://cembla.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI for legal & government", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1687991939, "tags": [ "SaaS", "GovTech", "B2B", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Ben and Brian met at the 2015 Speech & Debate Nationals the summer before the start of their freshman year at Stanford. Since then, they’ve been best friends and are currently roommates in San Francisco. After graduating with his master’s in computer science, Ben was most recently an applied machine learning researcher in a Stanford research lab. After graduating with his bachelor’s in engineering, Brian was most recently a product manager on the front lines of early AI adoption in industry. Ben and Brian started Taylor because they saw companies rushing to adopt AI but struggling to adapt one-size-fits-all chat models for their use cases." } ], "url": "https://www.ycombinator.com/companies/cembla", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cembla.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41b0a27e54d4ae8ccb5d6d44522528df85b7ed7a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/53a4c68619911ccd19537c76a9f9a99ed50038a3.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 989748, "full_name": "Brian Kim", "title": "Founder", "founder_bio": "S23", "is_active": true, "linkedin_url": "https://linkedin.com/in/brian-kim-463a50142", "x_url": "https://twitter.com/brian_j_kim", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8df0ed53ec7dd20d9732a35304d67b041ac9175e.jpg" }, { "user_id": 515987, "full_name": "Benjamin Anderson", "title": "Founder", "founder_bio": "CTO", "is_active": true, "linkedin_url": "https://linkedin.com/in/andersonbcdefg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d46e310dd7ebda152ee67370014aad907ff6fc2.jpg" } ], "jobs": [], "news": [ { "title": "Data Engineering Startups funded by Y Combinator (YC) 2024 | Y Combinator", "url": "https://www.ycombinator.com/companies/industry/data-engineering", "date": "Apr 01, 2024" }, { "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale", "url": "https://www.tryfondo.com/blog/taylor-ai-launches", "date": "Mar 26, 2024" }, { "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale", "url": "https://www.tryfondo.com/blog/taylor-ai-launches", "date": "Mar 25, 2024" }, { "title": "Bruckner Ventures on LinkedIn: 🚨 Bruckner Ventures is thrilled to announce our investment in Taylor AI…", "url": "https://www.linkedin.com/feed/update/urn:li:activity:7136381855037100033/?actorCompanyId=95063899", "date": "Dec 01, 2023" }, { "title": "The AI Edge on LinkedIn: #ai #aitools #tech #productivity | 10 comments", "url": "https://www.linkedin.com/posts/the-ai-edge_ai-aitools-tech-activity-7095124082316185602-tVwh?utm_source=share&utm_medium=member_desktop", "date": "Sep 01, 2023" } ], "launches": [ { "id": 79451, "title": "Taylor — Tag your text data at scale", "tagline": "The API for on-demand text classification (No LLMs)", "body": "Hey everyone! 👋 We're Ben & Brian.\n\n**TL;DR** Use Taylor’s API to tag your free text faster and cheaper than a LLM can.\n\n**THE PROBLEM** High-volume, high-frequency text data (like user-generated content, chat completions, and lead communication logs) is difficult to sort, productize, and manage. You can tag text with LLMs, which works well on smaller datasets but is challenging at scale due to rate limits, high latency, and accuracy issues (“creative” labels). What if you could classify text in real time with no rate limits?\n\n**OUR SOLUTION** An API for classifying your text in milliseconds into hierarchical labels. For example, use our out-of-the-box **topic classification model** to tag your free text by topic.\n\n![uploaded image](/media/?type=post&id=79451&key=user_uploads/989748/3ee6956b-5fd4-4f09-a9f4-8150c204b8ac)\n\n**OUR ASKS**\n\n1. Make a request to our topic classification model! [Log in](https://www.trytaylor.ai/login), grab your API key, and then use [this starter code](https://docs.trytaylor.ai/Topic%20Tags/request#full-example) to get back topic labels.\n2. Not the labels you need? Email us ([founders@trytaylor.ai](mailto:founders@trytaylor.ai)) or book time [here](https://calendly.com/brian-r0o/taylor-ai).\n3. Follow us on [Twitter](https://twitter.com/TryTaylor_AI) and [LinkedIn](https://www.linkedin.com/company/taylor-ai/) to stay on top of our latest models and roadmap!", "url": "https://www.ycombinator.com/launches/KfT-taylor-tag-your-text-data-at-scale", "votes": 64, "created_at": "2024-03-18T03:17:06.573Z" } ] }, { "id": 29286, "name": "PointOne", "slug": "pointone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f848e072de817e8a37aeb1ad8a912f9e2f5d9c52.png", "website": "https://pointone.com/", "all_locations": "New York City, NY, USA", "long_description": "PointOne is the leading AI Time platform. With automated time entry, compliance, and analytics, PointOne offers AI-native", "one_liner": "AI Time Platform for Law Firms", "team_size": 35, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1705177845, "tags": [ "SaaS", "B2B", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pointone", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pointone.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pointoneai", "x_url": "https://twitter.com/PointOneAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f848e072de817e8a37aeb1ad8a912f9e2f5d9c52.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1644994, "full_name": "Katon Luaces", "title": "Founder/CEO", "founder_bio": "Working on PointOne, automating timekeeping and billing. Previously worked on a legal tech product at Google before joining Applied Intuition where I worked on a platform for the verification and validation of autonomous vehicles.", "is_active": true, "linkedin_url": "https://linkedin.com/in/katon-luaces", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ade18464e79fea09032d5e48f056779e0d099af9.jpg" }, { "user_id": 1623919, "full_name": "Jeremy Ben-Meir", "title": "Founder/CTO", "founder_bio": "Working on PointOne to automate attorney timekeeping and billing. Was previously a software engineer at Amazon and Google where I worked on search relevance and Ads ML, respectively.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeremyben-meir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1f53488ef7dcc820ca6ea17f1a5f98c71ad61a1.jpg" } ], "jobs": [ { "id": 92918, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/pointone/jobs/XfnHuBG-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180K - $280K", "equity_range": "0.01% - 0.02%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93010, "title": "GTM Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/lEDIBUL-gtm-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$140K - $180K", "equity_range": "0.03% - 0.05%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93046, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/unIyfPV-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $230K", "equity_range": "0.02% - 0.30%", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93047, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/1VUq9m1-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $230K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93048, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/nY8WP5e-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $190K", "equity_range": "0.10% - 0.15%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93088, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/pointone/jobs/n3nydhf-customer-success-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $150K", "equity_range": "0.02% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93089, "title": "Customer Success Lead", "url": "https://www.ycombinator.com/companies/pointone/jobs/KLexKAg-customer-success-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.03% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93090, "title": "New Grad Software Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/SJ9AFBo-new-grad-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $160K", "equity_range": "0.03% - 0.05%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 93091, "title": "Security & Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/UOnViNj-security-infrastructure-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $230K", "equity_range": "0.20% - 0.30%", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93092, "title": "Product Reliability Engineer", "url": "https://www.ycombinator.com/companies/pointone/jobs/fYiPc4v-product-reliability-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "0.01% - 0.05%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93099, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/pointone/jobs/KUme05Y-sales-development-representative", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$110K - $130K", "equity_range": "0.01% - 0.02%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "PointOne Raises $16 Million Series A - PointOne", "url": "https://pointone.com/blog/pointone-raises-16-million-series-a", "date": "Mar 23, 2026" }, { "title": "Timekeeping Startup PointOne Secures $3.5M Seed Round, Including Investment From Cooley Fund | Legaltech News", "url": "https://www.law.com/legaltechnews/2024/07/10/timekeeping-startup-pointone-secures-3-5m-seed-round-including-investment-from-cooley-fund", "date": "Jul 10, 2024" } ], "launches": [] }, { "id": 29391, "name": "Abel", "slug": "abel", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/07ef2e243aa1386d6ced2b9fa5bf410249eb3799.png", "website": "https://www.tryabel.com", "all_locations": "San Francisco, CA, USA", "long_description": "Abel transforms law firm document review workflows, eliminating the need to choose between depth and breadth. Attorneys use Abel to answer nuanced questions based on the context spread across thousands of documents.", "one_liner": "Transforming document review for litigation teams", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1703027442, "tags": [ "Generative AI", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "." } ], "url": "https://www.ycombinator.com/companies/abel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/abel.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryabel/", "x_url": "https://www.twitter.com/abelforlaw", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/07ef2e243aa1386d6ced2b9fa5bf410249eb3799.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7c625ed08b7130eaed6c7a040c93ca746f100c37.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bca9ad448ebbb99d0dfc2f472c4f32d08f14e22b.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 363045, "full_name": "Sean Safahi", "title": "Founder", "founder_bio": "Co-Founder, CEO @ Abel, where we're transforming document review for litigation teams. Previously: Product @ Netflix & Airbnb and Co-Founder @ Bold (acquired by Airbnb). Pilot, runner, and best friend to my dog. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/ssafahi", "x_url": "https://twitter.com/scubasean", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b552a5aef0bf03d5efa9d3fb310dacc2986231e3.jpg" }, { "user_id": 1436205, "full_name": "Chenyu Li", "title": "Founder", "founder_bio": "Co-Founder, CTO @ Abel, where we're transforming document review for litigation teams. Previously engineering @ Chime and Yahoo!. Co-founder @ Telescope (acquired by Chime). Pilot, mountaineer and lover of all things outdoors!\n", "is_active": false, "linkedin_url": "https://linkedin.com/in/chenyuli", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d5705d29587942ab54456a03679904b42262185.jpg" } ], "jobs": [], "news": [ { "title": "The 18 most interesting startups from YC’s Demo Day", "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/", "date": "Apr 03, 2024" } ], "launches": [ { "id": 79318, "title": "Abel: Transforming document review for law firms", "tagline": "Review legal records with the depth of manual review and the scale of technology", "body": "Hello! We’re [Chenyu](https://www.linkedin.com/in/chenyuli/) and [Sean](https://www.linkedin.com/in/ssafahi/), the team behind [Abel](https://www.tryabel.com/). Abel **answers complex questions across large legal records** made up of many different types of documents. Our mission is to empower attorneys to practice more efficiently, so they can extend representation to more people.\n\n![uploaded image](/media/?type=post&id=79318&key=user_uploads/363045/d582ce29-dab1-48c8-97ec-23438999b485)\n\n### **tl;dr**\n\n* Attorneys import documents from a variety of sources and formats (PDFs, emails, spreadsheets, docs).\n* Abel processes the documents and creates a structured representation of the information contained in them (we call these: “entities”). \n* Attorneys understand the facts with more speed and precision than was previously possible.\n\n### **Problem**\n\nMany legal practice areas - including litigation, M&A, and insurance - routinely deal with large document sets, and attorneys spend many hours reviewing those documents to get the information they need. \n\nIn an age of AI, law firm clients demand both increased efficiency and improved effectiveness. \n\nExisting technology solutions, like eDiscovery platforms, don’t help attorneys understand the information that exists inside the documents. They’re costly, cumbersome, and their search is difficult to use to pinpoint the relevant information. \n\nSo, attorneys rely on manual document review, which is even more costly, prone to human error, and difficult to get client budget buy-in.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=79318&key=user_uploads/363045/575e7b8c-4331-4a11-b51f-d83c1e0c2535)\n\nAbel allows attorneys to get the depth of manual review at the scale of technology. Attorneys import legal records of a variety of document formats, types, and sizes. \n\nAbel leverages our proprietary entity extraction to process the documents and uncover a structured representation of the information contained in them. Our extraction pipelines are flexible and can be customized to identify the relevant entities to our customers’ needs, which can include things like: \n\n* The people involved \n* Clauses in agreements \n* Relevant email threads\n* Key legal issues \n* Motions raised at trial\n* Key events that occurred\n\nAttorneys use Abel to explore the extracted entities and to examine the relationships between them. This allows us to answer more complex questions with more nuance than existing solutions.\n\n[View our demo.](https://youtu.be/USloYdiY6Pk)\n\n### **Our Asks**\n\n1. If you’re an attorney or responsible for law firm innovation, please reach out to [founders@tryabel.com](mailto:founders@tryabel.com). We’re offering premium onboarding for firms that sign up by May 10th, which includes deploying up to 5 custom entity extraction pipelines. \n2. If you’re on an in-house legal team, we’d love to talk about how we can support both you _and_ your outside counsel. \n3. Please share this post with your networks. Chances are that you know an attorney or two.", "url": "https://www.ycombinator.com/launches/KdK-abel-transforming-document-review-for-law-firms", "votes": 119, "created_at": "2024-03-12T17:35:18.158Z" } ] }, { "id": 29505, "name": "Tower", "slug": "tower", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71c566f418e6fe3b2b2aa396c65f6feec1bfc40f.png", "website": "https://withtower.com", "all_locations": "Toronto, ON, Canada", "long_description": "Tower accelerates transactional due diligence via an AI-powered, centralized diligence platform. By consolidating disparate diligence workflows, Tower helps deal teams stay organized, spot issues earlier, and close deals faster.", "one_liner": "M&A due diligence platform powered by AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1715707959, "tags": [ "Workflow Automation", "Legal", "LegalTech", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Both Adam and I both have strong conviction that legal services ought to be more accessible. We believe the current system is broken on both sides of the marketplace. Lawyers are bogged down by a variety of tasks which can and should be automated while their clients are encumbered with large legal costs arising from said tasks. We strongly view legal access as the core recipe for a functional and equitable society and believe that technology has a large role to play in getting us there. We interviewed hundreds of lawyers and found that there are many salient pain points being experienced by in-house legal teams which we’re well-equipped to solve given our in-depth backgrounds in software engineering and AI research." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "When Tower truly succeeds, all lawyers will be able to focus on tasks which they attended law school for, such as advising their clients and applying their nuance to strategic matters. They will no longer have to waste their day performing low-value-add tasks such as searching through precedents or handling admin work. Clients, from the largest corporations down to the individual, will have access to quality legal services at affordable costs as legal professionals are freed from the tyranny of mundane work." } ], "url": "https://www.ycombinator.com/companies/tower", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tower.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/tower-software-labs/", "x_url": "https://twitter.com/trytower/", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tower-aab5", "github_url": "https://github.com/tower-software-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/71c566f418e6fe3b2b2aa396c65f6feec1bfc40f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/be9b737d3bdcb8f10bd2e971cb0dd384d1cf1fb5.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1450770, "full_name": "Adam Dorfman", "title": "Founder/CEO", "founder_bio": "I am the co-founder & CEO of Tower; we're building an AI platform for legal due diligence. Previously I was an early engineer at Float (corporate card for Canada), built software for speaker & microphone manufacturing at Apple, built AI software & performed AI computer-vision research at DarwinAI (acq. Apple). I studied Mathematical Physics at the University of Waterloo, where I co-oped in data-science/ML and software engineering.", "is_active": true, "linkedin_url": "https://linkedin.com/in/adam-dorfman", "x_url": "https://twitter.com/headcaffeinator", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d3ee3b0806e318dcc142069fe61dae8aec6c98d.jpg" }, { "user_id": 1791443, "full_name": "Andy Zhang", "title": "Founder", "founder_bio": "Co-founder and CTO @ Tower; we're building helpful software so M&A folks can leave work at 5PM everyday. Before Tower I was the founding engineer of ArenaX Labs, a Web3 AI Gaming startup, where I helped the company from inception and zero users to Series A and a community of hundreds of thousands. Before this I did research at an investment trust, specializing in reinforcement learning and cool assets like crypto. I graduated from UWaterloo BCS and Laurier BBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andy-z/", "x_url": "https://twitter.com/UnholyCucumber", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/915ef170f6842e04259bbbae58d56db29a65c54b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101268, "title": "Tower - collaborative AI for due diligence", "tagline": "We help deal teams collect the right disclosures faster and automate review.", "body": "Hi YC,\n\nWe’re Adam, Andy, and Noah - co-founders of Tower ([withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page))\n\n## TL;DR\n\nTower is a collaborative AI diligence workspace. We take your DD checklist and messy data room, organize it, flag what’s missing, and let your team query everything with AI - so you spend time on analysis, not chasing information.\n\nWe’re live with AmLaw 50 and Chambers Band 1 law firms, top serial acquirers, and leading commercial real estate diligence teams.\n\n\n\n## The Problem\n\nThe hardest part of diligence isn’t reviewing documents - it’s collecting the right information. \n\nDeal teams have no dedicated system for collecting and verifying that disclosures are complete before analysis begins. Instead, they rely on multiple VDRs, Excel trackers, email threads, and one-off AI prompts to figure out what’s been received, what’s missing, and what matters. That process of chasing and structuring information is iterative, time-consuming, and kills deal momentum. \n\nMost AI tools help teams review documents faster. But you can’t review what you don’t have, and you can’t assess risk in documents you don’t know are missing. \n\n## The Solution\n\nTower is the workspace that takes deal teams from first disclosure to answers faster - by fixing collection first, then accelerating review.\n\n**1. Automatically organized data room:** Upload anything, get a fully indexed deal room in minutes. Click any diligence request and see the exact files behind it.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0ac92ee3-6a92-4b0f-8d35-176aa978f693)\n\n**2. Catch red flags and missing files up front:** Missing amendments, unsigned agreements, stale financials, and expired contracts are flagged within seconds of upload, before anyone wastes review time.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0e556183-5997-4b8f-b5a1-72fbd4b38bca)\n\n**3. AI document review:** Extract covenants, financial definitions, change-of-control triggers, and rep language across hundreds of documents in one pass. Every answer cited to source.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/36914b9b-402a-4ce1-b78e-b1b3bd0341ab)\n\n**4. Smart diligence Q&A:** Every request, every responder, every status, in one live system, synced with the data room. No more \"what's the latest tracker?\" email threads.\n\n## The Backstory\n\nOur team spent years on the wrong end of messy data rooms - burning weeks organizing and chasing disclosures before real review could begin. We watched deals stall and sour because of it. Tower is the system we wished we had on every one of those deals. \n\nNoah is a former M&A and tech lawyer at Dentons, where he co-led the AI industry practice and advised top Canadian startups. Andy was an ML quant at a $27B pension fund and founding engineer at NRN Agents. Adam was an early engineer at one of Canada's fastest-growing fintechs, and worked on data science in manufacturing at Apple.\n\n## Our ask\n\n* Warm intros to M&A partners at AmLaw 200 firms, corp dev leads at PE/strategics, and CRE acquisitions teams.\n* Working on a deal? Book a demo with us.\n\nLearn more at [withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page), or reach us directly at [founders@withtower.com](mailto:founders@withtower.com)\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/5afe8369-4d10-42cd-bc56-ccc6b999a6d8)\n\n", "url": "https://www.ycombinator.com/launches/QLM-tower-collaborative-ai-for-due-diligence", "votes": 18, "created_at": "2026-05-13T01:11:54.537Z" } ] }, { "id": 29760, "name": "Mage Legal", "slug": "mage-legal", "former_names": [ "Modern Realtor", "Modern Realty" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4df5aefb249191ba91c6bf450182a3b87c6d5d9.png", "website": "https://magelegal.com", "all_locations": "San Francisco, CA, USA", "long_description": "Comprehensive AI coverage across your entire data room. Surface red and yellow flags, draft memos, compare redlines, and ensure nothing falls through the cracks.", "one_liner": "Automatic AI Legal Diligence", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1721426082, "tags": [ "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mage-legal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mage-legal.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/the-mage-legal", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4df5aefb249191ba91c6bf450182a3b87c6d5d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/18f9738895e8808730820b0e62e85ec1131330e8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/575a6ef15c423f3361e32be6d66885e80ce4b35a.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 688868, "full_name": "Raffi Isanians", "title": "Founder", "founder_bio": "CEO & Founder of Mage Legal", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raffi-isanians/", "x_url": "https://x.com/RIsanians", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afd5d6862f56b361c315c675f1ed7d95eeffdc2b.jpg" } ], "jobs": [ { "id": 66546, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/mage-legal/jobs/SPM0oEc-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $150K", "equity_range": "0.50% - 2.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] }, { "id": 84559, "title": "Founding Front End Engineer", "url": "https://www.ycombinator.com/companies/mage-legal/jobs/oQEAawK-founding-front-end-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $150K", "equity_range": "1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "Next.js" ] }, { "id": 84560, "title": "Founding Designer", "url": "https://www.ycombinator.com/companies/mage-legal/jobs/HQwuocB-founding-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$80K - $130K", "equity_range": "1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Figma" ] }, { "id": 84660, "title": "Founding Marketer/Head of Growth", "url": "https://www.ycombinator.com/companies/mage-legal/jobs/vo0P8dR-founding-marketer-head-of-growth", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$80K - $130K", "equity_range": "0.25% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90434, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/mage-legal/jobs/tw6C54W-founding-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$100K - $150K", "equity_range": "1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "Figma" ] } ], "news": [ { "title": "Should you use AI to buy your home? Here's what some say", "url": "https://www.usatoday.com/story/money/personalfinance/real-estate/2024/10/07/should-you-use-ai-to-buy-home/75511235007/", "date": "Oct 07, 2024" }, { "title": "Are AI real estate agents the future for homebuyers? These firms think so - HousingWire", "url": "https://www.housingwire.com/articles/are-ai-real-estate-agents-the-future-for-homebuyers-these-firms-think-so/", "date": "Aug 28, 2024" } ], "launches": [ { "id": 97352, "title": "Mage: Legal Diligence for M&A and Financings. Minutes, Not Days.", "tagline": "Turn data rooms into deal intelligence.", "body": "Hi All!\n\n**TL;DR:** We automate legal diligence for ECVC and M&A attorneys. Upload a data room, get flagged issues, and client-ready reports in minutes instead of days.\n\n---\n\n## What Mage Does\n\nMage is AI legal diligence software for attorneys. We scan entire data rooms, flag issues, and generate diligence reports in minutes instead of days.\n\n**Document Processing**: Automatically classify hundreds of documents by type (NDA, employment agreement, IP assignment, option grant, etc.) and route for analysis.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/b261058b-62cd-4988-a24d-2502fdad4753)\n\n**Tabular Extraction**: Extract key provisions from every contract into a structured grid. Red and yellow flags highlight issues requiring attention: liability caps, change of control triggers, assignment restrictions, IP ownership gaps.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/4143a0a6-391f-4943-8edf-3333f97ca3b2)\n\n**Issue Flagging**: Identify problems before they delay closing. Cap table discrepancies, missing contracts, and non-standard terms.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/c9c16c14-099a-480d-9aa0-c43dfb726bb5)\n\nand disclose schedules (see below). Full coverage. No spot-checking. Better results for your clients.\n\n---\n\n## For M&A Attorneys\n\nLarger data rooms. Compressed timelines. Mage enables your team to handle more deals without adding headcount.\n\n**Memo Generation**: Generate client-ready diligence memos organized by practice group. Includes executive summaries, flagged issues, and document references.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/8975c025-50b4-49e7-82ea-fc374ba8ccd4)\n\n**Redline Comparison**: Track changes across negotiation rounds. Identify exactly what moved between versions.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/40ac5584-ca4d-4bdd-8e11-43e3b037ee97)\n\n**Disclosure Schedules**: Auto-populate disclosure schedules from the merger agreement and data room. AI provides reasoning for each classification. Attorneys review and finalize.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/79638d51-f525-455f-8af6-976c8611e2fb)\n\nService more clients with your current team. Handle capacity spikes without scrambling for resources.\n\n---\n\n## Coming Soon: Capital Markets\n\nMage is expanding to capital markets transactions: IPOs, debt offerings, and secondary offerings.\n\nContact us for early access.\n\n---\n\n## Results\n\n  - **Scope**: Go from limited review under time pressure to full data room coverage\n\n  - **Output quality**: Replace bandwidth-dependent work with consistent, thorough analysis\n\n  - **Capacity**: Scale without adding headcount instead of being constrained by associate availability\n\n  - **Turnaround**: 6 hours instead of 3-4 days\n\n---\n\n## About\n\nMage was founded by Raffi Isanians (S24), formerly an M&A and startup attorney at Kirkland & Ellis, Gunderson Dettmer, and Goodwin. \n\n---\n\n**Website**: [magelegal.com](https://magelegal.com)\n\n**Contact**: [founders@magelegal.com](mailto:founders@magelegal.com)", "url": "https://www.ycombinator.com/launches/PKC-mage-legal-diligence-for-m-a-and-financings-minutes-not-days", "votes": 8, "created_at": "2026-01-31T15:47:06.857Z" } ] }, { "id": 29772, "name": "Parley", "slug": "parley", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49aadd86a1a43580b7c9079ab398a509ebe10568.png", "website": "https://parley.so", "all_locations": "San Francisco, CA, USA", "long_description": "Parley is the Legal Agent built for the AI era. Legal teams know that getting the work done isn't just drafting or researching. It's also managing your cases, loose threads, and team. Parley is the all-in-one workspace that structures all of that information so that AI can actually deliver finished work.", "one_liner": "Legal Agent that delivers finished work", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1719517061, "tags": [ "SaaS", "Legal", "LegalTech", "Immigration", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parley", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/parley.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parley-legal-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49aadd86a1a43580b7c9079ab398a509ebe10568.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 410497, "full_name": "Philip Smart", "title": "Founder/CEO", "founder_bio": "Automating flat-fee legal work, starting with work visas and green cards for immigration lawyers (Parley S24). \n\nUsed to work on Growth and GenAI @ Linkedin. Drove increases to \"Core Four\" metrics that we reported to MSFT, was PM on the first consumer, massive-scale launch of GPT-4 integrated into a product outside of OpenAI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/phildsmart", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e891fe8b36771c80b9c8513390b07440f5b5612c.jpg" }, { "user_id": 587096, "full_name": "Ian Edwards", "title": "Founder/CTO", "founder_bio": "Co-founder of Parley. We help automate legal drafting for immigration attorneys and other flat-fee lawyers. Previously an engineer at several startups including Porter (YC S20) and Govdash (YC W22).", "is_active": true, "linkedin_url": "https://linkedin.com/in/ian-edwards", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b933094f9793c2eccbac37184cd632d30d28f58.jpg" }, { "user_id": 1753065, "full_name": "Jackson Perry", "title": "Founder", "founder_bio": "Co-Founder of Parley. We want to automate flat-fee legal work, starting with immigration!\n\nIn a former life, invested at a clean energy PE fund and consulted for Oil & Gas majors and U.S. utilities.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jackson-perry", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/106e09163fa463e7150bcc6756bac9ca271f248e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 81798, "title": "Parley - Making immigration simple", "tagline": "We help immigration firms write visa applications with AI, starting with the O-1A Writer.", "body": "**Tl;dr:** Parley helps immigration lawyers write visa applications using AI. We integrate directly into a lawyer’s typical workflow so they can start writing with Parley from day 1 and deliver results to their clients faster.\\\n—\n\nHi everyone, we’re Jackson, Philip, and Ian, and we’re the co-founders of [Parley](http://www.parley.so).\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdt6N9Q8vNdjiG9xxDpkQcK7DC6o2oJ1pXc5CeFeNpU2jR8qqIb_HbbsvKCgbOuoHmlHJKSF1Y3cnlKz0SCU2BWfICIW3sVsxtv2MV5POsxXUBkkqgYH2Rzq1YRLdcm9rTZf4rLxt6pCFzt6-DOYN-A2yKY?key=bRVaeO2Jsn5Nds8A8Ue9KA)\n\n**📚 The Problem**\n\nIt’s no secret that the immigration system in the U.S. is broken. Anyone pursuing a work or immigrant visa will tell you about the difficulties of lottery systems, exorbitant fees, and endless paperwork. \n\nAt Parley, we believe an important piece to fixing this process is **automating work for immigration firms.** For some visa types, a lawyer or legal writer spends several days writing a single application, learning about the most complex and technical professions, collating hundreds of pages of evidence, and synthesizing it all into a cohesive petition. Meanwhile, an applicant eagerly waits for their opportunity. By helping lawyers work better on a daily basis, we hope to accelerate Parley’s speed to impact — reducing the complexity of immigration.\n\n**✍️ The Solution** \n\nParley makes immigration processes easier. Our first product, the O-1A Writer, helps **immigration attorneys speed write a petition** while keeping them in the loop. As a lawyer does the critical thinking in specifying what argument they want to make, our writer dynamically pulls content from an applicant's evidence, fits that material to the context of the application, and automatically drafts a petition for review. We do this all directly in Microsoft Word — where most attorneys spend their time writing. We’re quickly expanding support for more visa types like the H-1B, TN, EB-1, EB-2 NIW, L-1, and more.\n\n![uploaded image](/media/?type=post&id=81798&key=user_uploads/410497/9ed0f8d6-b11f-48a8-acc1-3a6d50fb74df)\n\n**Asks:** \n\n* Want to use the product? **Book a demo **[**here**](https://calendly.com/philip-parley/15min)**.**\n* **Been through a visa process?** Reach out to us and tell us about your journey at [founders@parley.so](mailto:founders@parley.so) - we’d love to talk!\n* **Like what we’re building?** Share this post! Spread the word to help us build toward the vision of making immigration simple.", "url": "https://www.ycombinator.com/launches/LHK-parley-making-immigration-simple", "votes": 96, "created_at": "2024-06-27T19:39:16.686Z" } ] }, { "id": 29793, "name": "RiskAngle", "slug": "riskangle", "former_names": [ "Flyte.ai", "Zephr", "Zephr (Flyte AI, Inc)", "Zephr", "Risk", "Zephr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54a02285653f46a282f6b715527aa06ce8d9cd0d.png", "website": "https://www.riskangle.com/", "all_locations": "San Francisco, CA, USA", "long_description": "RiskAngle delivers fast, accurate summaries of unstructured medical records for insurance companies and law firms. Our AI-powered platform enables users to streamline underwriting, expedite claims processing, and prepare cases with confidence.", "one_liner": "AI medical summaries in minutes", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1721862703, "tags": [ "SaaS", "B2B", "Legal", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/riskangle", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/riskangle.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/riskangle", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54a02285653f46a282f6b715527aa06ce8d9cd0d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1360788, "full_name": "Bill Chen", "title": "Founder", "founder_bio": "Born in Shanghai and raised primarily in Vancouver, Canada, Bill earned his bachelor's degree in Computer Science from Columbia University. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/billchen99", "x_url": "https://x.com/bill_gy_chen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4509546e3aa48756222818f4ba150951c056563a.jpg" }, { "user_id": 1957719, "full_name": "William Hu", "title": "Founder", "founder_bio": "Startups @ Anthropic! Previously founded RiskAngle (acquired in 2025).", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/william-hu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3dbfb17cc82a9304233be8f735925438839673f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29828, "name": "Draft The Record", "slug": "draft-the-record", "former_names": [ "Therapy Buddy", "Sterling Labs", "Focus Buddy", "Sterling Labs, Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c84a03d0d402a34192f801bf5c20f40407fa3c88.png", "website": "https://www.drafttherecord.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We are on a mission to provide faster and affordable access to the justice system - starting with depositions and trials.\r\n\r\n1000s of depositions and trials run through DraftTheRecord every week including Senate and House meetings, Confidential federal hearings, criminal proceedings like murder trials, and civil lawsuits involving family disputes, personal injury and much more.\r\n\r\nDuring legal proceedings,\r\n• DraftTheRecord provides real time assistance to attorneys, previously requiring a legal team. The platform then helps analyze depositions and other evidence cutting down trial prep time from weeks to days. \r\n• Court reporters use DraftTheRecord to capture audio and generate live transcript drafts for attorneys and judges. \r\n• Transcribers use our legal-specific AI transcription model to cut transcription time by 3x.", "one_liner": "AI For Litigation", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1724988357, "tags": [ "Legal", "LegalTech", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/draft-the-record", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/draft-the-record.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c84a03d0d402a34192f801bf5c20f40407fa3c88.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 650126, "full_name": "Adnan Sherif", "title": "Founder", "founder_bio": "CEO Draft The Record. Ex ML @ Google working on Generative AI on the Pixel Phone. Ex ML Researcher @ UC Berkeley Sky Lab", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adnan-sherif-as/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9550c26d8b2d7046a9552195f4448971b597d96.jpg" }, { "user_id": 452080, "full_name": "Yash Ramchandani", "title": "Founder", "founder_bio": "Co-Founder of DraftTheRecord. Previously PM @ Google working on AI features on the Pixel phone, and Ads for stores trying to drive in-store traffic", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yashmr/", "x_url": "https://twitter.com/yash14700/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/11d77a0b65e9d1420382bc0ca03a2b7db2cc76f9.jpg" } ], "jobs": [ { "id": 97433, "title": "Customer Success Specialist", "url": "https://www.ycombinator.com/companies/draft-the-record/jobs/WN9VSsM-customer-success-specialist", "location": "San Francisco, CA, US / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 83816, "title": "Focus Buddy - AI productivity coach to get more work done", "tagline": "The AI you speak to 3-4 hours every day to help you think clearly, avoid distractions and be held accountable", "body": "### **TLDR**\n\n_FocusBuddy is an AI productivity coach that sits in the background on your computer and speaks to you while you work to help you think clearly, avoid distractions and hold you accountable. Our users converse with the AI over a phone call for 3-4 hours everyday while they’re working_.\n\n### **The Cost of ADHD** \n\nWe’re starting by focusing on people that struggle with ADHD\n\n**People with ADHD consider it the BIGGEST blocker in their life and the PRIMARY cause of their poor grades, missing promotions, and getting fired.**\n\n* 17 million adults and children in the US\n* 2-4 more hours wasted every day compared to peers\n\nBeyond ADHD, there are 80 Million people knowledge workers in high income countries that struggle with workplace productivity that FocusBuddy will serve\n\n### **How Focus Buddy helps our user Jeff**\n\nJeff is a brilliant product engineer who has ADHD. He often struggles to complete work due to his tendency to hyper-focus on details and get distracted by sudden impulses. Here is what Jeff's new workflow looks like since he started using FocusBuddy: \n\nJeff calls Focus Buddy first thing in the morning after breakfast. They go over his to-do list together and create a schedule for his day. Jeff then begins his first task - writing a draft PRD. He explains his approach to FocusBuddy and asks for frequent check-ins to keep him on track. \n\nAn hour into drafting, Jeff notices a small discrepancy in a user activity chart. His ADHD brain latches onto this detail, and he spends the next 30 minutes hyper-focusing on it, losing sight of the bigger picture. Just then, FocusBuddy speaks up: \"How's it going?\" Jeff explains: \"He is still figuring out the details on the chart\" FocusBuddy detects that Jeff has been hyper-focusing on a detail and helps Jeff realize that he is falling behind on schedule with more important parts of the PRD.\n\nFocus Buddy then works with Jeff to wrap up work on the chart discrepancy and reorganize his schedule to come back to the chart later in the day. They then do a 5-minute meditation to shift his focus away from the discrepancy and ease his mind back onto the main task. At the end of the day, FocusBuddy helps Jeff perform a daily reflection and prepare for his day tomorrow.\n\nJeff and our other users experience multiple types of interventions by Focus Buddy every single day and attribute their new-found productivity to it.\n\n### **Why Focus Buddy works**\n\nToday, people with ADHD spend hours every day virtually co-working on apps like Focusmate, updating to-do lists, using meditation apps like Calm, and journaling with little success. It is extremely hard to keep these apps updated, they have very little context about you and are unable to proactively provide timely support when needed. \n\nFocus Buddy is deeply integrated, is seamless to interact with, builds a lot of context over time and is able to leverage this context at critical moments to provide the necessary support.\n\nOn top of that, our voice AI infrastructure is revolutionising the way humans and AI interact. we're crafting an entirely new paradigm for fluid, natural conversations that feel as intuitive as talking to another person. Here are some examples:\n\n[**Multimodal Voice + Text Conversation**](https://youtu.be/d4FpwMfz_Ow)\n\n[**Proactive AI Initiated Check-ins**](https://youtu.be/XOgYMysjZ10)\n\n### **Our Team**\n\n![uploaded image](/media/?type=post&id=83816&key=user_uploads/650126/d303db31-ba55-407a-a001-09b86bbe9aa3)\n\n[Adnan](https://www.linkedin.com/in/adnan-sherif-as/) and [Yash](https://www.linkedin.com/in/yashmr/) have been best friends for over a decade, roommates for the last two years, and worked on the Google Pixel team as a Product Manager and ML Engineer. Yash led product and safety for Generative AI apps on the latest Pixel phone, while Adnan worked on training and deploying low-latency, resource-constrained, fully on-device Gemini models used by these apps.\n\nAdnan is a national triple jump champion, and prior to Google, he conducted AI research at UC Berkeley’s SkyLab with Ion Stoica (co-founder of Databricks), focusing on scaling graph machine learning to problems with millions of nodes. Yash has worked at startups like Kalshi and Relay, helping them from pre-launch to launch.\n\nAdnan learned to manage the ADHD symptoms he faced throughout high school and college and went on to help others cope with the same condition.\n\n# **Our Asks**\n\nReach out to us at [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai) to learn more and sign up on our website to try us out and give us feedback. If you know anyone with ADHD, feel free to send them our way\n\nContact:  [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai)  | Website: ", "url": "https://www.ycombinator.com/launches/Lns-focus-buddy-ai-productivity-coach-to-get-more-work-done", "votes": 346, "created_at": "2024-09-06T17:41:22.363Z" } ] }, { "id": 29841, "name": "Elayne", "slug": "elayne", "former_names": [ "Elayne AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a39c5ab69e2cfbf8fdd2de5562516b23e3a5d91.png", "website": "https://www.elayne.com/", "all_locations": "New York City, NY, USA", "long_description": "Elayne is building the modern estate settlement platform. \r\n\r\nEstate settlement is a $250B+ annual market, with $80T+ in assets expected to transfer over the next 25 years. But after a death, families and executors have to spend 400+ hours manually identifying, organize, and distribute everything that was left behind like: financial accounts, debts, property, insurance, legal documents, incorporating juristidi ation requirements and family context. \r\n\r\nElayne is the first platform to surface verified assets and debts for precisely this moment, then turing our discovery into a clear inheritance map. We work directly with families and executors, and with the partners who support them: funeral homes, hospice and aftercare providers, attorneys, and financial institutions.\r\n\r\nThe company was founded by Adria, a former large-cap investor who experienced the problem firsthand, and Rebecca, a repeat fintech and mental health founder who left her master’s program in psychology at Harvard to launch Elayne. Together, they bring financial rigor, technical execution, and lived empathy to a massive but deeply human category.\r\n\r\nBacked by Y Combinator and Accel, we are now an 8-person team based in NYC.", "one_liner": "Estate settlement, from verified discovery to distribution", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1718839098, "tags": [ "Fintech", "B2B", "Legal", "Consumer Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elayne", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/elayne.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/meetelayne", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a39c5ab69e2cfbf8fdd2de5562516b23e3a5d91.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1815430, "full_name": "Adria Ferrier", "title": "Founder/CEO", "founder_bio": "Co-founder / CEO at Elayne. Former large-cap private equity investor. Wharton grad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adria-ferrier-8b242836/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/518afe9823418b557079e92352ebce3b05600deb.jpg" } ], "jobs": [ { "id": 109247, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/elayne/jobs/fD9AZII-senior-full-stack-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$210K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "TypeScript", "Software Architecture", "Data Modeling" ] }, { "id": 109284, "title": "Senior Applied AI Engineer", "url": "https://www.ycombinator.com/companies/elayne/jobs/7AXa0LL-senior-applied-ai-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$250K - $270K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning", "Natural Language Processing", "LLMs" ] }, { "id": 109289, "title": "Founding Operations Lead", "url": "https://www.ycombinator.com/companies/elayne/jobs/brdrVdJ-founding-operations-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111125, "title": "Legal Product Fellow", "url": "https://www.ycombinator.com/companies/elayne/jobs/OFRhZk4-legal-product-fellow", "location": "New York, NY, US", "type": "Internship", "role": "Legal", "role_type": null, "salary_range": "$30 - $40 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 83590, "title": "Elayne - AI estate planner & executor for employees and their families", "tagline": "We give back 400 hours to grieving employees, boosting their recovery and return to work.", "body": "Hey everyone, we’re [Adria](https://www.linkedin.com/in/adria-ferrier-8b242836/) and [Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) - cofounders of [Elayne](https://www.elayne.com/) 👋\n\n# TL;DR\n\nImagine losing a family member. You're grieving and overwhelmed by tasks like funeral planning, managing bills, insurance, probate, and closing accounts—all while trying to process your emotions and return to work. The last thing you need is 400 hours of estate settlement tasks looming over you for the next 16-20 months, making it challenging to perform at work and nearly impossible to take care of your mental health. We solve this problem for both you and your employer.\n\n**_Ask:_** Is your HR team currently reviewing benefits for 2025? Introduce us! Email [adria@meetelayne.com](mailto:adria@meetelayne.com) or [book a demo here.](https://www.elayne.com/request-demo)\n\n# 👫 The Team\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/89898/46a5e6de-d62f-4210-a54b-761ebd822c41)\n\n[Adria](https://www.linkedin.com/in/adria-ferrier/) (CEO) - Adria is a former private equity investor at Permira and Blackstone and experienced this problem firsthand after losing her mom. Instead of focusing on due diligence at work, she had to spend hours figuring out how to plan a funeral, manage probate, settle bills, and close hundreds of accounts. She left her job within a year of her loss, as many bereaved employees often do.\n\n[Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) (CTO) - Graf cut his teeth in fintech working for Truebill (YC W16). There, he led the core web and mobile team, managing the implementation of critical experiences such as subscriptions, transactions, and net worth.\n\n# ❌ The Problem\n\nEmployee bereavement costs US businesses $100bn each year.\n\n* **A look at the numbers**: For every 1,000 employees _annually:_\n * **250 employees** will experience bereavement, 150 will experience a major loss\n * **418 days** will be spent on affairs settlement by employees\n * **$608,000** cost to business in lost productivity, absenteeism, and attrition\n* **No solutions:** there are no practical tools in the market to help HR leadership support their employees in the months following a loss\n* **Manual and time-consuming**: settling an estate takes an average of 400 hours over 18 months to complete and is currently completely manual\n\n# 🙇 Our Solution: One Platform for Family Estate Planning and Automated Settlements\n\n**Family Estate-Readiness 👪**\n\nThe estate-readiness platform provides a novel way for employees and their immediate family members to organize and optimize their estates.\n\n* **Visualizations**: Visualize your estate by uploading existing documentation and using our AI to extract information.\n* **Optimizations**: Use our AI to identify issues that could lead to problems executing the estate.\n* **Document Vault**: Upload and securely store critical documents that are needed in the event of a death.\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/1979156/05c7fe36-9c75-460e-a1b3-4b0cff1b8fd9)\n\n**Automated Settlements 🕊️**\n\nThe post-loss platform saves employees 400 hours over 18 months by automating estate and affairs settlement after each loss.\n\n* **AI Concierge**: Chat with our AI concierge, who knows all the details about your situation and can execute tasks on your behalf.\n* **Personalized Roadmap:** Understand at a glance what you have to do, what your loved one planned ahead of time, and what the Elayne AI can do for you.\n* **Resources:** Access exclusive resources that help you understand probate and other opaque parts of the post-loss process.\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/1979156/838b5fea-fc43-4380-b6d9-955ceaf692dd)\n\n**For HR Leaders ✨**\n\nKnowing what to say and how to support an employee experiencing a loss is hard, and navigating the death of an employee is even harder. We're here to help:\n\n* **Immediate Response**: Elayne steps in with an immediate action plan to coordinate urgent needs and communications on behalf of the employee or their family\n* **Workshops:** Explore the emotional and practical challenges that arise during the estate planning and settlement process and learn strategies to foster resilience\n* **Dashboard:** Quickly understand utilization rates, hours saved, and cost savings -for both your employees and company.\n\n# 🙏 Our Ask\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/meetelayne/), and [book a demo](https://www.elayne.com/request-demo) with our team.\n* **Share this post!** -  Do you know anyone in your network who is a CHRO, HR or benefits manager, or head of Total Rewards? Please share this post (or our promo video below!)\n* Learn more at [Elayne.com](http://Elayne.com)\n\n", "url": "https://www.ycombinator.com/launches/LkE-elayne-ai-estate-planner-executor-for-employees-and-their-families", "votes": 213, "created_at": "2024-08-29T18:52:06.466Z" } ] }, { "id": 30073, "name": "Pearson Labs", "slug": "pearson-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e33a2875f652bdd69936c606147614f5fff8283.png", "website": "http://www.pearsonlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pearson builds AI agents to automate corporate transactions. Large law firms use us to run gigantic books of businesses with AI, reducing their cost of delivery 40-60%.", "one_liner": "AI agents to automate corporate transactions", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1731901982, "tags": [ "Generative AI", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pearson-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/pearson-labs.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e33a2875f652bdd69936c606147614f5fff8283.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2161266, "full_name": "Stephanie Young", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Pearson, AI to automate corporate legal transactions (M&A, IPOs, financings). Previously built Riva, AI bots to help employees negotiate job offers with the mission to even gender and racial pay gaps. Went through a M&A with that company which inspired this company. ex-Google, Lyft, Stanford (4 degrees from Stanford in just over 6 years).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephanieyoung1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f245f1f4b8b291afbcc1b6083b77284ab9b8bc6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85684, "title": "Pearson Labs - we build AI agents to help law firms execute corporate transactions", "tagline": "Law firm partners can scale their book of businesses with Pearson", "body": "TL;DR — Hey everyone! It’s [Steph](https://www.linkedin.com/in/stephanieyoung1/) and we’re building Pearson - AI agents to help law firms and companies execute corporate transactions. We help rainmakers at law firms run gigantic books of businesses with AI.\n\n## AI Researcher & Exited Founder\n\n[Steph](https://www.linkedin.com/in/stephanieyoung1/) got 4 degrees from Stanford including CS+MBA from Stanford in just over 6 years\n\n* Product at Google and Lyft\n* Built and sold an AI company, which inspired Pearson\n\nCome talk to us!\n\n[stephanie@pearsonlabs.ai](mailto:stephanie@pearsonlabs.ai)", "url": "https://www.ycombinator.com/launches/MI0-pearson-labs-we-build-ai-agents-to-help-law-firms-execute-corporate-transactions", "votes": 168, "created_at": "2024-11-19T01:55:02.953Z" } ] }, { "id": 30227, "name": "Caseflood.ai", "slug": "caseflood-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d31f3f49a5edce794bad2e27245bc567169b4853.png", "website": "https://caseflood.ai", "all_locations": "Miami, FL, USA", "long_description": "", "one_liner": "How elite law firms do intake", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1736487685, "tags": [ "B2B", "Sales", "Legal", "Call Center", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/caseflood-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/caseflood-ai.json", "year_founded": 2025, "city": "Miami", "country": "US", "linkedin_url": "https://www.linkedin.com/company/caseflood-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d31f3f49a5edce794bad2e27245bc567169b4853.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0e1c62e5092f64b1c770e2664570060430fce319.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2244729, "full_name": "Ethan Hilton", "title": "Founder/CEO", "founder_bio": "How elite law firms do intake | Ex-CMU AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-hilton/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/338ef9943557cb41965b0bc661bc1765ca55a22a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87869, "title": "Caseflood.ai: The AI Support Staff For Law Firms", "tagline": "Just like your current support team, but 5X better and 10X cheaper", "body": "# **TL;DR**\n\nWhat if a law firm could double its capacity without hiring a single person? [Caseflood.ai](http://Caseflood.ai) has engineered highly effective AI agents to do phone intake, client follow-up, and keep clients updated throughout their case—giving attorneys dozens of hours back per week.\n\nImagine you’re an attorney, and every day, your calendar fills with paid consultations without you even answering the phone, retainers get signed without you manually chasing leads, and all 300 of your clients stay informed about their cases without you writing a single email. That’s Caseflood.\\\n\\\n\n\n# **👫 The Team**\n\n[**Ethan:**](https://www.linkedin.com/in/ethan-hilton/) Started a legal leads startup at 16, making 5-figure MRR, and learned law firm operations and SMB sales. Went to CMU and studied AI and Business, but couldn’t stop thinking about all the operational inefficiencies in law firms, and eventually dropped out to solve it.\\\n[**Ayushman:**](https://www.linkedin.com/in/ayushman28/) Has been building enterprise AI software for Fortune 100 companies for the past 5 years, was Chief Data Scientist at India’s first unicorn company, and led the fraud detection team for a 30M MAU delivery app. Holds an MS in AI from CMU.\\\n[**Tolen:**](https://www.linkedin.com/in/tolen-schreid/) Cut his teeth in UX when he co-founded a game with 9,000 DAU at age 15, built projects like an accurate astrophysics simulator, and was personally commended by the Indiana Governor at age 17 for his advances in engineering. Went to Purdue and studied computer engineering.\n\n# **❌ The Problem**\n\n**Small firms don’t know how to deal with clients**.\\\n_Or at least, that’s what Ethan saw through visiting \\~80 firms in his previous legal startup._ They couldn’t effectively:\n\n* intake new clients\n* do follow-ups to close clients\n* keep clients updated throughout their cases\n\n**Lawyers are stuck**—if they answer calls, they lose billable hours and time. If they don’t, they lose potential clients.\n\n**Currently**, receptionists, intake specialists, case managers, and personal assistants eliminate those issues, but cost $60k+ per year each and it’s very difficult to find and train good ones (we met one lawyer who went through 3 receptionists in 6 weeks)—and outsourcing is unreliable and still expensive.\n\n**Vicious cycle**: law firms want to spend more on advertising to get more clients, but getting more clients requires a larger support staff, and having a larger support staff means they can’t spend more on advertising. This causes stagnation.\n\n# ✅ **Our Solution: The AI Support Staff For Law Firms**\n\nWe created the all-in-one system that intakes, closes, updates, and manages clients with AI agents that are 5X better and 10X cheaper when benchmarked against humans. It’s like you’re running your law firm, but on easy mode.\n\n**Intake**: Luna, our multilingual AI intake specialist:\n\n* empathetically intakes clients\n* convinces callers to book consultations\n* answers questions\n* forwards callers to the appropriate attorney\n\nHer multimodal features let her take payments, retrieve client data, send information through texts during the call, and simultaneously communicate with other attorneys about what’s happening in her call. She is the most advanced law firm intake system ever created.\n\n**Client communication**: Jess, our client manager:\n\n* interacts with clients via SMS\n* does personalized lead follow-up to get leads to sign a retainer\n* keeps clients updated throughout their case\n* schedules and reschedules meetings\n\nShe does this by integrating into law firm CRMs and case management software. She increases conversion rates with lead follow-up, saves attorneys dozens of hours per week—allowing them to handle more cases—and heavily decreases their operational human costs.\n\n**5X better, 10X cheaper** than human staff—helping law firms reach peak performance.\n\n# **🙏 Our Ask**\n\nKnow a lawyer drowning in calls? Send them this.\\\n(or our website, [Caseflood.ai](http://Caseflood.ai))\n\nAre you a lawyer? We’re already helping law firms across the US streamline their operations—if you run a firm and want **more revenue, less busywork, and happier clients**, [let’s talk](https://cal.com/ethanhilton).\\\n(_use promo code **YCW25** and we’ll waive the $3,000 setup fee)_", "url": "https://www.ycombinator.com/launches/MrF-caseflood-ai-the-ai-support-staff-for-law-firms", "votes": 185, "created_at": "2025-02-20T18:53:49.873Z" } ] }, { "id": 30258, "name": "Gale", "slug": "gale", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b4d879e54fc4f7ad192906cf1b7d462aa4f207b9.png", "website": "https://galevisa.com", "all_locations": "San Francisco, CA, USA", "long_description": "Gale is an immigration tech platform that makes immigration simple for US companies. We've simplified the visa application process, streamlined compliance, and can integrate with HR systems - saving teams time, money and headaches. Through automation, we enable the independent attorneys we coordinate with to maintain quality whilst being more efficient.", "one_liner": "Fast and Data-Driven Immigration Platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1737265835, "tags": [ "B2B", "Legal", "HR Tech", "Immigration", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gale", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/gale.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galeapp/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b4d879e54fc4f7ad192906cf1b7d462aa4f207b9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1760440, "full_name": "Rahul Gudise", "title": "Founder/CEO", "founder_bio": "Automating business visas for American employers, starting with the H-1B. Previously built Canada's first instant immigration PDF filler and automation suite. Ex NVIDIA and Tesla. CS @ Waterloo.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rahulgudise", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7a0a410936b204c87c9597359a018eb1759c945.jpg" }, { "user_id": 1751117, "full_name": "Haokun Qin", "title": "Founder/CPO", "founder_bio": "Immigrated twice in the last 20 years, now building the data-driven platform for immigration. Math @ Waterloo, ex-MLE @ Viavi.", "is_active": true, "linkedin_url": "https://linkedin.com/in/haokun-qin", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a84027d6452f0160b9f2088a10e0a307ed3a294.jpg" }, { "user_id": 1997743, "full_name": "Rishabh Sambare", "title": "Founder/CTO", "founder_bio": "Currently working on simplifying the H-1B process for startups at Gale. Studied Math & CS at the University of Waterloo. Previously built automations for Canadian immigration forms, worked on energy trading at Tesla, and improved matching algorithms for the Waterloo co-op program. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/rishabhsamb", "x_url": "https://x.com/rishabh_sambare", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6a39e7b6c9adbc27a728562b41fc1908ba69c3c.jpg" } ], "jobs": [ { "id": 116966, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/gale/jobs/9hcjXdD-software-engineer", "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $130K CAD", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "React", "TypeScript", "Terraform" ] } ], "news": [], "launches": [ { "id": 88070, "title": "Gale - Fast and Data-Driven Business Immigration", "tagline": "Immigration platform for US employers", "body": "Gale is a tech platform that automates the entire H-1B application and compliance process for US employers, with independent licensed attorneys ensuring accuracy at all steps.\n\nhttps://youtu.be/tmMnGLIa3fs\n\n### **The Problem**\n\n![uploaded image](/media/?type=post&id=88070&key=user_uploads/1751117/82978c7b-fae9-48b4-8b08-a909d1852a7c)\n\n_An email from a founder in W25 to their immigration law firm (name redacted to protect the guilty)_\n\nWe’ve talked to enough employers to know dealing with immigration sucks. Here’s why:\n\n* Slow response times from lawyers (1-3 business days at least)\n* No help on complex compliance requirements after visa approval\n* Knowledge transfer and communication done via email or janky web forms\n* Confusing questionnaires or document checklists\n\n### **The Solution**\n\nWe help US employers spend as little time as possible worrying about H-1Bs and how to be compliant. Here’s how:\n\n* Fast online data intake process with AI-powered document intake that auto-fills your application\n* Easy to follow tooltips and comprehensive FAQ \n* Automated H-1B compliance for you and your team even after H-1B approval\n* An **experienced immigration lawyer** handles and reviews each individual case with the same level of scrutiny as a law firm\n* Fast turnaround time for legal questions\n* We use english, no legal jargon\n\n### **Moving forward**\n\nH-1Bs are just the beginning. We’ve already started working on expanding our offering to help both consumers and businesses with other types of visas such as O-1s, Fs, Ks and TNs. The US immigration service market isn’t built for the 21st century, and we believe by using a mix of AI and professionals in the loop we can change that.\n\n### **Our Ask**\n\n**Know someone who is hiring or has hired H-1B workers?** Whether it’s a startup, SMB, enterprise, university, or nonprofit, we’d love an introduction! You can email us at [**rahul@getgale.app**](mailto:rahul@getgale.app).\n\nWe’d also appreciate it if you could share this post, or our demo video and follow us on [**LinkedIn**](https://www.linkedin.com/company/galeapp) to stay updated on our journey!\n\n### **Team**\n\nRahul (CEO), Rishabh (CTO), and Haokun (CPO) have been building together since middle school and later studied at the University of Waterloo. After working at companies like NVIDIA and Tesla, they experienced the inefficiencies of the immigration process firsthand and decided to automate it.\n\n\\\nGale founders from left to right: Haokun, Rahul, Rishabh:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchLNzKn3_48N25g3_X4dRxX7YLxU7jiQvK2oPpTRAD8MSvQpwG-C8AYDXUl0bRAbXYUgDD1ZukDf8MyOi_E_Z8iST3bgX5WzFKloRnlM4U1ZAkXWiM_4gyQd96ak32EO1-X3k?key=i0Gf8e5jxOhwPvU53uxZ6q3Z)\n\n", "url": "https://www.ycombinator.com/launches/MuU-gale-fast-and-data-driven-business-immigration", "votes": 38, "created_at": "2025-02-26T18:47:13.872Z" } ] }, { "id": 30290, "name": "Tire Swing", "slug": "tire-swing", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/954a6e03dc3be9737df64c792b63e036b1c580cf.png", "website": "https://gettireswing.com", "all_locations": "New York City, NY, USA", "long_description": "Tire Swing uses AI to power resident and applicant eligibility evaluations for affordable housing.\r\n\r\nOur software manages the resident certification and recertification process end-to-end for public and private properties supported by Project Based Rental Assistance, Low Income Housing Tax Credit, and Housing Vouchers. It serves as a drop-in replacement for third-party consultants and auditors, and helps compliance staff complete their work faster and more accurately. ", "one_liner": "AI Compliance for Affordable Housing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1740473580, "tags": [ "GovTech", "Real Estate", "Housing", "Compliance", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tire-swing", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/tire-swing.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tire-swing", "x_url": "", "fb_url": null, "cb_url": "http://crunchbase.com/organization/tire-swing", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/954a6e03dc3be9737df64c792b63e036b1c580cf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 990814, "full_name": "Paul Witten", "title": "Founder/CEO", "founder_bio": "Cofounder/CEO Tire Swing\n\nPreviously Senior Consultant at Stroz Friedberg where I led cybersecurity investigations involving Advanced Persistent Threats, Nation States, and Ransomware. I led the memory forensics working group and was a member of the malware analysis working group.\n\nGraduated from Princeton with a Bachelors in Computer Science 2019\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/paul-witten-39579715a", "x_url": "https://x.com/pdubz96", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e8b659e953c13f6341ab1542908089c109c7f7e.jpg" }, { "user_id": 2402276, "full_name": "Lucas Irvine", "title": "Founder/CTO", "founder_bio": "Co-founder Tire Swing (W25)\n\nPreviously a Senior Software Engineer for Instacart, where I worked on everything on the front page of Instacart. Before that worked at Capital One on the open-source rules engine Cloud Custodian.\n\nGraduated from Princeton with a Bachelors in Computer Science in 2019.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-i-b20187128/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c22bc565cdc37513ad5a76e49631f52536d1824.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108324, "title": "Tire Swing - AI Compliance for Affordable Housing", "tagline": "The AI platform for Affordable Housing operators to review and qualify applicants and residents", "body": "Hi! We are Lucas and Paul, cofounders of Tire Swing: the AI compliance platform for Affordable Housing.\n\n\n\n## **The Problem**\n\nEvery Affordable Housing move-in and recertification requires applicant income verification and a strict eligibility review. In addition to the high labor costs and regulatory burden, delays in reviewing applications and thoroughly screening applicants can cause weeks of lost rental revenue.\n\nLost revenue on a single move-in can accumulate to thousands of dollars, and penalties for non-compliance can cost millions in credit recaptures and fines.\n\n## **The Solution**\n\nTire Swing uses AI to bring compliance expertise to the point of leasing. It turns weeks of reviews and approvals into a minutes-long process. The platform:\n\n* **Reviews evidence as it is collected.** Tire Swing processes documentation in minutes, allowing problems to be addressed before the applicant leaves the office.\n* **Performs the eligibility analysis.** It calculates household income, applies all applicable property, state, and program eligibility rules, and links every finding to its supporting evidence.\n* **Automates certification compliance.** Tire Swing flags missing, inconsistent, or incorrect information with steps to resolve the problem from a library of thousands of deterministic and AI driven compliance checks.\n\n**Tire Swing means faster move-ins and recertifications, reduced consulting budget, and more consistent, audit-ready files.** \n\n## **Looking ahead**\n\nWe believe Affordable Housing is the first application of a much larger needs-based eligibility opportunity. Federal, state, and local governments distribute more than $1.5 trillion annually through needs-based programs including Medicaid, SNAP, TANF, utility assistance, and tax credits.\n\nThese programs share a common underlying workflow: collect documents, convert them into structured facts, apply eligibility rules, and resolve missing or contradictory information.  The administration costs for these services are approximately $20B annually.\n\n## **The Team**\n\nTire Swing is founded by Paul and Lucas, college friends and Princeton computer science graduates. Prior to founding Tire Swing, Lucas worked as a software engineer at Instacart and Capital One, and Paul worked as a cybersecurity consultant at Stroz Friedberg.\n\n![uploaded image](/media/?type=post&id=108324&key=user_uploads/990814/102ac484-df2c-4314-a766-c778a91c6b50)\n\n\n## **The Ask**\n\nWe would appreciate introductions to Affordable Housing property managers, developers, public housing authorities, and state housing agencies.\n\nPlease feel free to reach out at [**paul@gettireswing.com**](mailto:paul@gettireswing.com).", "url": "https://www.ycombinator.com/launches/SBA-tire-swing-ai-compliance-for-affordable-housing", "votes": 5, "created_at": "2026-07-30T06:17:34.365Z" } ] }, { "id": 30297, "name": "OpenIntake", "slug": "openintake", "former_names": [ "TripleZip" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1df405069dcaa60afa0846603e01e765ebe5af44.png", "website": "https://www.openintake.ai/", "all_locations": "New York City, NY, USA", "long_description": "OpenIntake boosts law firm revenue by converting callers into clients 24/7.", "one_liner": "The AI Front Door For Law Firms", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1739319968, "tags": [ "SaaS", "B2B", "Sales", "Legal", "LegalTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openintake", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/openintake.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106200029/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1df405069dcaa60afa0846603e01e765ebe5af44.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2375948, "full_name": "Yash Sahota", "title": "Founder", "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms.\n\nBefore OpenIntake, I was a product security engineer at Slack and a consultant at McKinsey & Company.\n\nCornell CS '20", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yashsahota", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65cc0cd62110c0500ee9aa7d8d519117c00c4b84.jpg" }, { "user_id": 2371405, "full_name": "Grayson Pike", "title": "Founder", "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms..\n\nBefore OpenIntake, I was a consultant at McKinsey & Company and a back-end tech lead at a hedge fund.\n\nUniversity of Texas at Austin class of '21 🤘", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/graysonpike/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edb51d6ffda537f5cd707b4e8604c1d02d4b3e6d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87973, "title": "TripleZip - AI for Commercial Real Estate Accounting 📊", "tagline": "Commercial property accounting in minutes, not months.", "body": "**TLDR:** TripleZip automates complex accounting tasks for Commercial Real Estate firms, cutting admin costs and lowering legal risk.\n\n**Demo:** \n\n**❌ The Problem: Expensive and error-prone accounting**\n\n* CRE firms pay $$$ for lawyers to manually extract data from their leases\n* Then they pay $$$ for accountants to reconcile tenant accounts\n* The whole process takes 3+ months & often has costly errors.\n\nWe learned about the problem from our parents, who own commercial real estate in San Antonio, TX. After trying existing CRE accounting software, we found that the entire process relied on error-prone manual entry and expensive consulting services.\n\n**✅ Our Solution: Replace manual entry with AI**\n\n* TripleZip extracts data from leases with AI (more accurately than humans)\n* TripleZip feeds that data into an accounting engine which reconciles accounts instantly\n* Done in <1 day, 10X cheaper than hiring a consultant or service firm\n\nWe’ve started by automating the most complex part of CRE accounting: Triple-net (NNN) reconciliation. This process accounts for up to 1/3 of the accounting effort for a large CRE firm and often results in expensive human errors and audits.\n\nBy reducing the overhead costs of accounting and avoiding costly audits related to NNN reconciliations, we aim to improve our customer’s margins by as much as 25% percent.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=87973&key=user_uploads/2371405/6fe9a40c-dc81-438e-8c4b-76a5bbebf00d)\n\nGrayson and Yash are close friends who have collaborated on software projects since they met in middle school. Since then, they have worked together as consultants at McKinsey & Company in New York.\n\nMost recently, Grayson was a back-end tech lead at a hedge fund and Yash was a security engineer at Slack while helping with his family’s commercial real estate business.\n\nYash earned a B.S. and an M.Eng. in Computer Science from Cornell in 2020.\n\nGrayson earned a B.S. in Computer Science from the University of Texas at Austin in 2021.\n\n**Our Ask**\n\n* **Do you know someone who works in Commercial Real Estate?** We’d love to meet them! Please reach out at [founders@triplezip.ai](mailto:founders@triplezip.ai) \n* **Do you manage commercial real estate?** We’d love to chat! Contact us at [founders@triplezip.ai](mailto:founders@triplezip.ai)", "url": "https://www.ycombinator.com/launches/Msv-triplezip-ai-for-commercial-real-estate-accounting", "votes": 67, "created_at": "2025-02-24T20:59:43.717Z" } ] }, { "id": 30340, "name": "TamLabs", "slug": "tamlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "website": "https://tamlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TamLabs agent teams deliver professional work products with speed and precision.", "one_liner": "Agent teams for complex work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1740176772, "tags": [ "Finance", "Workflow Automation", "Legal", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tamlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tamlabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tamlabs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2271465, "full_name": "Joshua Doolan", "title": "Founder/CEO", "founder_bio": "Founder & CEO at TamLabs (W25). Previously, Blackstone Data Science, deployed AI solutions across PE portfolio and led data science diligence for PE. Harvard AB/SM in Computer Science, focus in AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-doolan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e1bc8f61814e07251588f88fb46036f2d8aae3f.jpg" }, { "user_id": 2271471, "full_name": "Ben Doolan", "title": "Founder/COO", "founder_bio": "COO & Co-Founder at TamLabs. Worked across private equity, consulting and policy. Studied physics and classics at Georgetown. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-doolan-66aa64204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c5af637d92d41111507e191aa357615682cd624.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30479, "name": "Crimson", "slug": "crimson", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21989f713e50ef7cfbe220d4cfc1a1fbcff900f.png", "website": "https://crimson.law", "all_locations": "London, England, United Kingdom", "long_description": "Crimson is the case intelligence platform for complex litigation. We help litigators build a complete picture of each case – every argument, entity and event understood in context – and support them with analysis, drafting and case management across the lifecycle of the dispute.", "one_liner": "The AI Associate for Litigation Lawyers", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1746120512, "tags": [ "SaaS", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/crimson", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/crimson.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/106218761/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21989f713e50ef7cfbe220d4cfc1a1fbcff900f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2365297, "full_name": "Mark Feldner", "title": "Founder/CEO", "founder_bio": "Former BigLaw litigator, now automating some of the most common tasks in high-stakes litigation. Crimson is the first AI platform purpose-built for complex disputes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mark-feldner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96b730e4dd6d31c08f418e6b69a77c97dd447ba5.jpg" }, { "user_id": 1769038, "full_name": "David Strömbäck", "title": "Founder/CTO", "founder_bio": "Building AI for complex disputes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidstromback/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23588a2b9e6ac4775ce6122b92ae4de77b9d27de.jpg" } ], "jobs": [], "news": [ { "title": "YC-Backed Crimson Raises Oversubscribed $2.5M Seed Round to Bring Case Intelligence to Litigation", "url": "https://www.lawfuel.com/legal-ai-news-yc-backed-crimson-raises-oversubscribed-2-5m-seed-round-to-bring-case-intelligence-to-litigation/", "date": "May 29, 2026" }, { "title": "AI litigation legaltech start-up Crimson raises $2.5m in seed funding round - The Global Legal Post", "url": "https://www.globallegalpost.com/news/ai-litigation-legaltech-start-up-crimson-raises-25m-in-seed-funding-round-1123576627", "date": "May 27, 2026" }, { "title": "Litigation AI startup founded by former City lawyer raises $2.5m", "url": "https://www.nonbillable.co.uk/news/litigation-ai-startup-founded-city-lawyer-crimson-fundraise-mark-feldner", "date": "May 27, 2026" }, { "title": "Litigation Platform Crimson Announces $2.5M Seed Round, New York Office | Law.com", "url": "https://www.law.com/legaltechnews/2026/05/28/litigation-platform-crimson-announces-25m-seed-round-new-york-office-/", "date": "May 27, 2026" }, { "title": "Crimson litigation AI playbook: From task-level tools to matter-wide intelligence - Legal IT Insider", "url": "https://legaltechnology.com/crimson-litigation-ai-playbook-from-task-level-tools-to-matter-wide-intelligence/", "date": "Jan 08, 2026" } ], "launches": [ { "id": 90879, "title": "Crimson: The AI Associate for Litigation Lawyers", "tagline": "Analyze case files, find key evidence and draft legal documents in seconds", "body": "Hi everyone! We’re [Amine](https://www.linkedin.com/in/amine-amor-4a7a42135/), [David ](https://www.linkedin.com/in/davidstromback/)and [Mark](https://www.linkedin.com/in/mark-feldner/), and we’re building Crimson - the AI associate for litigation lawyers.\n\n**TL;DR**\n\nLitigators deal with thousands of case files, often spanning several years. Crimson processes all that data and uses its understanding of each case to analyze legal arguments, locate evidence and draft documents.\n\n**Crimson saves litigation lawyers 10+ hours of manual work each week.**\n\n[Crimson Launch Video](https://www.youtube.com/watch?v=kSzn7CMqX5s)\n\n**The problem:** Litigation teams are drowning in case documents\n\n* Case files are scattered across Outlook, shared drives and document management systems.\n* Lawyers spend hours reviewing letters, emails, transcripts and evidence, identifying key issues, and drafting case-specific documents.\n* Existing AI tools aren’t built for litigation workflows.\n\n**The solution:** Crimson’s AI associate that knows each dispute inside-out\n\n* Crimson automatically organizes and analyzes case documents, extracts key legal issues, and identifies inconsistencies between party positions.\n* Lawyers can ask questions such as “What have the defendants said about termination?” and get answers with citations across pleadings, hearing transcripts, letters and other case files.\n* Crimson helps legal teams draft arguments, chronologies and letters with content tailored to each case.\n\n**Why are we building this?**\n\n* Mark spent seven years as a litigator at leading law firms. He lost countless hours trawling through case files, searching for evidence and manually drafting documents.\n* With recent advances in reasoning models, we can now build an AI associate that understands the nuances of complex legal arguments.\n* Horizontal AI tools will only go so far. To unlock real value, lawyers need a context-aware platform that is tailored for litigation workflows. Crimson is that tool.\n\n![uploaded image](/media/?type=post&id=90879&key=user_uploads/2365297/767fac65-ca2a-4160-8d74-3911b6a64832)\n\nWant to see Crimson in action? Book a demo here: [crimson.law](https://crimson.law).\n\nYou can reach us at [founders@crimson.law](mailto:founders@crimson.law).", "url": "https://www.ycombinator.com/launches/Ndn-crimson-the-ai-associate-for-litigation-lawyers", "votes": 42, "created_at": "2025-05-30T14:05:41.366Z" } ] }, { "id": 30503, "name": "Vesence", "slug": "vesence", "former_names": [ "Verse Law", "Verse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae7f81743afec55a338f8ebe26d07f21e2696ebc.png", "website": "https://vesence.com", "all_locations": "San Francisco, CA, USA", "long_description": "Vesence is a computer built for agents doing 99% of the work. \r\n\r\nDevice-agnostic and model-agnostic, it brings your inbox, files, browser, and tools into one workspace. Run Claude Code and Codex, direct agents in parallel, and stay in control from any device.", "one_liner": "The Agent-Native Computer", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747133222, "tags": [ "Finance", "B2B", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vesence", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/vesence.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vesence", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae7f81743afec55a338f8ebe26d07f21e2696ebc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2572575, "full_name": "Henrik Hansson", "title": "Founder/CEO", "founder_bio": "CEO and Co-founder of Vesence. Cursor for Lawyers.\n\nThree facts:\n- Studied at Sweden's top two universities in parallel. Physics and economics at 200 percent pace.\n- Amassed tens of millions of streams as a music producer. Still getting around $3K in royalties per month to this day.\n- Worked together with Anton, founder of Lovable, at Depict for 3 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henrik-hansson-1571a8187/", "x_url": "https://x.com/HenrikTaro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20ed0a8293ef29331ec3355131d4288b678456b6.jpg" }, { "user_id": 2486274, "full_name": "Ludvig Swanstrom", "title": "Founder", "founder_bio": "Co-Founder at Vesence. YC-Backed. Forbes 30u30. Former Pro-Basketball Player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ludvig-swanstr%C3%B6m-73ab49114/", "x_url": "https://x.com/ludvigswanstrom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6814535e0aa091165bdd119b8a2814dd1000773.jpg" } ], "jobs": [ { "id": 110539, "title": "Founding BDR (Business Development Representative)", "url": "https://www.ycombinator.com/companies/vesence/jobs/YTaHNCr-founding-bdr-business-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110543, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/vesence/jobs/4sRUhpe-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Vesence Raises $9M Seed Round | Vesence", "url": "https://www.vesence.com/blog/seed-round-announcement", "date": "Oct 28, 2025" } ], "launches": [ { "id": 90570, "title": "Vesence: Cursor for Transactional Lawyers", "tagline": "AI Agents inside of Microsoft Office for Transactional Law Firms. ", "body": "**TL;DR:** We are building Cursor for Lawyers. We turn Microsoft Word into an IDE for contracts, and build agents operating in the background. Our initial focus is on Transactional Law Firms, and agents built for quality-assuring projects and documents according to the firm’s best practice.\n\nWe have already rolled out Vesence firm-wide at our first enterprise client with a lot of love from both associates and partners.\n\nKnow any Transactional Lawyers? Let’s connect: [founders@vesence.com](mailto:founders@vesence.com).\n\nhttps://www.youtube.com/watch?v=Nr1Q7S6A84I\n\n**Problem:**\n\nImagine programming in Apple Notes.\n\nNo linting, no cursor, you are on your own.\n\nThat is how it is for many lawyers to draft and review contracts in Microsoft Word.\n\nAt law firms, the stakes are extremely high. Every mistake can hurt your reputation badly. Associates need to deliver under time pressure, partners demand extreme attention to detail, and your clients will not accept any blunders.\n\nGiven the attention to detail needed in the work, working on complex projects under constant time pressure, we are starting with quality-assuring agents (i.e. a linting system for contracts).\n\nThe consequences of shipping \"bugs\" in a legal document can be catastrophic, but even the best firm still rely on manual review to catch mistakes.\n\n**What We’ve Built**\n\nVesence offers quality assurance AI agents available straight in Microsoft Word to handle tasks such as:\n\n* **Apply firm-wide Standards**: Apply writing style guides and best practices consistently across all practice groups in the firm\n* **Ensure project-level alignment**: Flag inconsistencies across multiple deal documents, for example auto-checking the SPA against the original term sheet\n* **Verify document consistency**: Catch defined term slips, bad cross-references, logical gaps, and miscalculations within a single document\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/99f83828-eeb2-4d36-9c69-e8401e4ab7b5)\n\n**Why This Matters**\n\nLet’s hear it from our users:\n\n“You saved me 4 hours last night.”\n\n“I’m never sending out a document/project again unless I’ve used Vesence.”\n\n“This is how AI should feel like. Intuitive and extremely helpful.”\n\n**Associates** love Vesence as they can produce exceptional internal deliveries under less pressure to seniors and partners. **Partners** love the tool as their teams hand them better quality work and follows the firm’s best practices.\n\nThe interest we have seen from transactional law firms is great, but we also received inbound from other professional service providers that care deeply about quality and the reputation of their firms, including Investment Banks and Management Consultants.\n\nBasically, the holy trinity of where the ‘pls fix’ culture thrives.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/e3b7f4e8-f03a-448d-9af8-fabe96a9feea)\n\nThe founders **Henrik Hansson** and **Ludvig Swanström** have known each other for 8 years, and worked together at the YC startup Depict S20 (founded by the CEO and Founder of Lovable).\n\nTo build Vesence, we spent a couple of months living at a law firm, to refine the product and user experience alongside lawyers.\n\nWe have already rolled out the product firm-wide at a law firm.\n\n**Our Ask**\n\nKnow any partners, innovation managers, or associates at transactional law firms? Please connect us!\n\nHave you ever worked at a law firm, management consultancy firm, or an investment bank and faced brutal pls fix tasks? Please share them with us!\n\nReach out to us at: [founders@vesence.com](mailto:founders@vesence.com)", "url": "https://www.ycombinator.com/launches/NYo-vesence-cursor-for-transactional-lawyers", "votes": 32, "created_at": "2025-05-20T20:03:01.272Z" } ] }, { "id": 30553, "name": "Blueshoe", "slug": "blueshoe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7df632e4878b4cdf452b698c74d065153a45564b.png", "website": "https://blueshoe.com", "all_locations": "San Francisco, CA, USA", "long_description": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\r\n\r\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.", "one_liner": "The AI-Native Consumer + Plaintiff Law Firm", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1746075411, "tags": [ "Consumer", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/blueshoe", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/blueshoe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/blueshoelaw/", "x_url": "https://x.com/blueshoelaw", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/blueshoe-e8f8", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7df632e4878b4cdf452b698c74d065153a45564b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1997200, "full_name": "Casey O'Grady", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Blueshoe. Harvard Law → Strategy Consulting → Legal Tech.\n\nBuilding Blueshoe to rewire the practice of law.\n\nPreviously advised Fortune 500 companies on AI adoption. Author of Agentic Workflows in the Practice of Law (Georgetown Journal of Legal Ethics, Spring 2025).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/casey-og", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8df8ae044d79d06122fb36ecc5c092685cc34529.jpg" }, { "user_id": 1499064, "full_name": "Kai Yee Wan", "title": "Founder/CTO", "founder_bio": "Building Blueshoe, the agentic law firm for justice that never sleeps. Previously I have been a research assistant at MIT CSAIL, embedded software engineer at Google (Chrome and Nest teams), and lecturer in computer science at Northeastern University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kywan", "x_url": "https://x.com/kaiyeewan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39e3c2c85366f399f584fb8d5a3cb351a57226a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103927, "title": "Blueshoe: Elite legal service. For everyone.", "tagline": "The first AI-native consumer + plaintiff law firm", "body": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\n\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.\n\n\n\n**The Problem**\n\nEvery year in the United States, billions of dollars in legal needs go unmet because trustworthy, affordable help remains out of reach. Legal technology has been built for law firms and corporations, not the people seeking justice.\n\n**Blueshoe changes that.** \n\nBy bringing technology and legal services together, Blueshoe makes legal help more accessible, effective, and reliable with support across: \n\n* [Employment](https://www.blueshoe.com/for/employment)\n* [Property & Housing](https://www.blueshoe.com/for/property-construction)\n* [Personal Injury](https://www.blueshoe.com/for/medical-injury)\n* [Consumer Protection](https://www.blueshoe.com/for/consumer-financial)\n* [Product Liability](https://www.blueshoe.com/for/product-environment)\n* [Commercial Disputes](https://www.blueshoe.com/for/creators)\n\n**How we do it**\n\n**1. Rebuilding the legal buying experience**\n\nToday, millions of people turn to AI before they ever call a lawyer. Blueshoe meets them there. \n\nAnyone using ChatGPT, Claude, Gemini, or other AI tools can connect directly with a Blueshoe attorney for a timely legal assessment and structured intake. All for a flat fee.\n\n**2. Making elite trial lawyers accessible**\n\nThe lawyers winning the largest verdicts aren't advertising on billboards or chasing clicks on TikTok.\n\nBlueshoe identifies, vets, and partners with exceptional trial lawyers, making high-quality representation accessible to the people who need it most.\n\n**3. Helping lawyers do their best work**\n\nMost lawyers spend too much time running a business and not enough time practicing law.\n\nBlueshoe provides qualified clients, AI-native software, and centralized operations in a single system. Lawyers focus on strategy, advocacy, and outcomes.\n\n**Who and why**\n\nWe're a [Harvard-trained lawyer](https://www.linkedin.com/in/casey-og/) and an [MIT engineer](https://www.linkedin.com/in/kywan/).\n\nWe’re building the law firm for a generation that expects everything always-on. A firm where technology doesn't replace judgment, but amplifies it, and where scale makes justice more human, not less.\n\nIf you're up against a legal issue — or you're a lawyer who wants to build the future of law — visit us at [blueshoe.com](http://blueshoe.com).\n\n![uploaded image](/media/?type=post&id=103927&key=user_uploads/1499064/d04c7ae1-d263-4f30-9f79-c90ac9aa7c1d)\n\n", "url": "https://www.ycombinator.com/launches/R2F-blueshoe-elite-legal-service-for-everyone", "votes": 22, "created_at": "2026-06-24T17:06:10.563Z" } ] }, { "id": 30920, "name": "Lexi", "slug": "lexi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eb8c922483150b7ebb7320f8160a0722809b666c.png", "website": "https://getlexi.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Lexi is an AI operating system for legal teams, law firms, and in-house counsel. It brings legal research, drafting, document review, contract redlining, case workflows, translation, knowledge management, and AI associates into one secure platform.\r\n\r\nLexi is built for enterprise legal work with end-to-end security, role-based access controls, audit trails, encrypted document handling, private workspaces, and deployment options for sensitive legal environments. Legal teams use Lexi to process high-volume legal documents, find answers with verified citations, draft in their preferred style, review contracts, and manage legal workflows from intake to output.\r\n\r\nLexi has processed 5,000,000+ documents across 200,000+ cases for 200+ organizations and law firms, helping lawyers save 10+ hours every week and handle more matters without adding headcount.", "one_liner": "AI Operating System for Legal Teams", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1758861304, "tags": [ "SaaS", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lexi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lexi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getlexi", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/lexi-01b1", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eb8c922483150b7ebb7320f8160a0722809b666c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2742687, "full_name": "Harshit Garg", "title": "Founder/CEO", "founder_bio": "Engineer-turned-lawyer and second-time founder. Previously led major technical and compliance projects for Fortune 500 companies before building Lexi.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harshitgarg03/", "x_url": "https://x.com/HarshitGarg03", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4d85ce8d524c280f4fe52216a960a8317d03f2f.jpg" }, { "user_id": 2650346, "full_name": "Kiran Mohan", "title": "Founder/CTO", "founder_bio": "Founding Team at Ethlas, a Sequoia-backed startup where he scaled the company to 100K+ users and $2M+ in ARR. Previously built high-frequency trading systems at Grasshopper that processed $500B+ in monthly notional volume. \n\nNow revolutionizing the legal industry with AI-powered legal associates at Lexi.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kiranmohanb/", "x_url": "https://x.com/bmnarik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01094d818af57ec45dfe4542ad4f866566c34238.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95269, "title": "Lexi: AI Associates for Law Firms & Legal Teams", "tagline": "Scale your practice without scaling overhead", "body": "Hi everyone! We’re [Harshit](https://www.linkedin.com/in/harshitgarg03/) and [Kiran](https://www.linkedin.com/in/kiranmohanb/), and we’re building Lexi - AI Associates for law firms & legal teams\n\n### **TL;DR**\n\nLaw firms & legal departments spend countless hours drafting, reviewing, organizing, and managing documents.\n\nUnlike other LegalTech tools, Lexi integrates directly into your workflow, acting as an AI associate that learns your team’s standards, tone, and processes to handle your workflows end to end.\n\n**Lexi saves lawyers 10+ hours of manual work every single week.**\n\n[Lexi Launch Video](https://youtu.be/3LSrawsmCfI)\n\n### 🔴 **The Problem**\n\nLawyers are drowning in low-leverage work.\n\n70% of a lawyer's day is spent on tasks that don't require legal expertise: summarizing documents, drafting routine correspondence, building chronologies, organizing files.\n\nExisting tools don't solve this—they're point solutions that force lawyers to juggle between multiple platforms and subscriptions, slowing them down instead of speeding them up.\n\nThe result? Clients wait for updates, strategy gets postponed, and burnout rises. Even top-tier firms struggle to scale without adding headcount.\n\n---\n\n### 🟢 **The Solution**\n\nLexi doesn't just \"help\" with legal work—it does the work. From intake to delivery, Lexi acts as a trained associate that learns your firm's style, standards, and processes.\n\n**What used to take 8 hours now takes 20 minutes.**\n\n**Document Intelligence**\\\nTransform scattered emails, PDFs, and transcripts into organized, searchable case files. Analyze thousands of documents and extract key information with reliable accuracy.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/de522fac-c1ec-4375-a762-74e096a803f6)\n\n**Drafting**\\\nGenerate polished first drafts of pleadings, contracts, and letters in your firm's voice. Lexi learns your writing style and standards to produce documents that need minimal editing.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/f2be1518-b09f-4069-8f0f-7d2f4b693fdc)\n\n**Contract Review**\\\nReview agreements against your firm's playbooks and flag risky clauses automatically. Lexi learns from your past reviews to improve recommendations and match your standards over time.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/c5c1a104-ed80-4e30-8a1d-1111270646a7)\n\n**Chronology Builder**\\\nBuild comprehensive timelines from thousands of documents. Extract dates, facts, conflicts, and citations instantly—perfect for depositions or trial prep.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/6b475d7c-a3f7-45c6-90d3-35fe6c15124f)\n\nThe best part: Lexi **Integrates seamlessly** with the tools you use daily: Microsoft Word, Outlook, Google Docs, iManage, and more. No new systems to learn. No workflow disruption.\n\n**The impact?** Firms using Lexi take on **25% more cases without new hires**—reclaiming 10+ hours per lawyer per week.\n\n---\n\n### 🔵 **The Team**\n\nWe've lived this problem from both sides—legal practice and AI engineering.\n\n**Harshit Garg** (CEO) — Practiced law at top firms where he watched talented lawyers lose hours to repetitive work. Built Lexi to give that time back.\n\n**Kiran Mohan** (CTO) — Former Engineering Manager at Ethlas and Shopee. Built AI systems and infrastructure at scale for millions of users. Now building the AI associate every law firm needs..\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/d9190728-ed4d-4e12-acd0-a4cedbd871fe)\n\nWant to see Lexi in action? Book a demo here: [getlexi.io](http://getlexi.io) or reach us at [founders@getlexi.io](mailto:founders@getlexi.io)", "url": "https://www.ycombinator.com/launches/Omb-lexi-ai-associates-for-law-firms-legal-teams", "votes": 487, "created_at": "2025-11-06T19:17:07.374Z" } ] }, { "id": 30936, "name": "Patent Watch", "slug": "patent-watch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c1d7fe830232f3ad92055c328a9c623fe69050a.png", "website": "https://www.patentwatch.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We automate patent infringement detection. Our software interprets patents, identifies competing products, and generates claim charts showing who’s infringing and how.\r\n\r\nTeams use us to:\r\n\r\n- Find licensing and litigation targets\r\n- Send cease-and-desist letters\r\n- Find counter litigation\r\n- Sell IP in wind-downs\r\n- Accelerate M&A diligence\r\n\r\nWe also run AI invalidity and prior-art searches to help your patents hold up in court.\r\n\r\nCompanies spend up to $50k to file and maintain a single patent over its lifetime, but once it's granted, they let it collect dust. With Patent Watch, you can start turning your patent portfolio into revenue in 10 minutes.", "one_liner": "AI for detecting patent infringements", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758491604, "tags": [ "SaaS", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/patent-watch", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/patent-watch.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/patentwatch-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c1d7fe830232f3ad92055c328a9c623fe69050a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1250636, "full_name": "Alexander Stroe", "title": "Founder/CEO", "founder_bio": "Founder @ Patent Watch | Prev day traded funded accounts, spent > $1M on ads", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-stroe/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94ff65b5d68579dddef6be5fecb2e0fa4a01e7f9.jpg" }, { "user_id": 1595753, "full_name": "Andreas Stroe", "title": "Founder/CTO", "founder_bio": "Founder @Patent Watch | Ex Research @ Philips", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andreasstroe/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfd385d73761d9cd87f365e5876e19941070a85d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94773, "title": "Patent Watch - AI for patent infringements 📜", "tagline": "Upload your patents, we find infringing products so you can sell licenses or litigate. ", "body": "[**Patent Watch Launch Video**](https://youtu.be/9rLBsb_cX6E)\n\n**Problem**\n\nMy co-founder, [**Andreas Stroe**](https://www.linkedin.com/in/andreasstroe) (also my brother), was doing research at Philips. He applied for 4 patents while he was there. After spending way too much time talking to the IP team, he realized that they hold 50,000 patents with a team of \\~10 people to defend them.\n\nA little background: a **patent costs** around **$50k** to obtain and maintain. $17k is non-negotiable, paid directly in fees. That means their **portfolio costs $850M** to **$2.5B**. The best part is that they, and pretty much every company in the world, rely on Googling competitors and sending salespeople to trade shows to hear about new products that could be infringing. This whole **portfolio** is **making** little to **no revenue.**\n\nI guess you can see why we started building this right away.\n\n![uploaded image](/media/?type=post&id=94773&key=user_uploads/1250636/63eddfc4-bbda-4f22-b80e-7d4f0f15ced3)\n\n_Can you tell we’re brothers?_\n\n**Solution**\n\nSuper simplified to keep it easy to understand:\n\n✅ We let companies upload their patents and get a list of claim charts showing what **products are infringing and how**, in 20 minutes instead of months.\n\n✅ When companies get sued, they can **use us to find counter litigation**, since the person suing them is most likely infringing on some of the patents they hold too.\n\n✅ The most common way to get these cases thrown out of court is by considering a patent invalid. That means there is some proof, like other patents, research papers, or products that existed before your patent was filed. We find all these and **confirm your patents will hold up in court.**\n\nThere is more, but you can consider this our “core”.\n\n**Proof**\n\nAs you can imagine, pretty much everyone we work with has us under NDA. What I can tell you is that we work with private inventors up to Fortune and Global 500 companies.\n\n**Why now?**\n\nOf course, AI …\n\nBut also, the US Patent Office is tightening the rules for challenging patents in its review court. The director is being pickier about which cases get heard, and some evidence no longer counts.\n\n🚨 It’s going to be a lot harder to attack a patent and a lot easier for owners to defend one🚨\n\n**Ask**\n\nIf you hold patents and have more applications pending, you can probably use us.\n\nOutside of that, we’d really appreciate intros to:\n\n* Patent attorneys\n* IP managers\n* Licensing managers\n* CTOs or heads of R&D at hardware, biotech, industrial, and large software companies\n\nMy email is [**alex@patentwatch.ai**](mailto:alex@patentwatch.ai) if you want to chat :)\n\n_Thanks for reading!_", "url": "https://www.ycombinator.com/launches/Oeb-patent-watch-ai-for-patent-infringements", "votes": 78, "created_at": "2025-10-21T00:06:19.043Z" } ] }, { "id": 30953, "name": "Relaw", "slug": "relaw", "former_names": [ "Relaw", "Primer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb0260bafa98dc299797de55569bc9898b1505c1.png", "website": "https://www.relaw.ai", "all_locations": "Los Angeles, CA, USA", "long_description": "Relaw powers leading AI-native law firms.", "one_liner": "AI Legal OS", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1759337648, "tags": [ "SaaS", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/relaw", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/relaw.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/relaw-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb0260bafa98dc299797de55569bc9898b1505c1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 734292, "full_name": "Chris Farestveit", "title": "Founder/CEO", "founder_bio": "Prior PM and Eng. Formerly at BCG and Dapper. Currently building AI agents for law firms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/green-c/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa6f131bc5780d3c07e03075bb2d8525bf4d2b70.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32124, "name": "Erinys", "slug": "erinys", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ecec9425d412cfc7fa1460b155883f078a7f023.png", "website": "https://erinys.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Erinys provides the technology, intake, back office, and client acquisition needed to launch and scale an AI-native law firm. Lawyers own their firms and make every legal decision; Erinys handles everything around them.", "one_liner": "We help lawyers start and scale AI-native law firms.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1786258271, "tags": [ "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/erinys", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/erinys.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/erinysai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ecec9425d412cfc7fa1460b155883f078a7f023.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3662807, "full_name": "Sasha Zyuzin", "title": "Founder/CEO", "founder_bio": "Founder at Erinys (YC S26). Presented vulnerability discovery research at Black Hat USA 2025 and spoke at the SANS OSINT Summit 2025. Undergraduate researcher at UMD working across IPv6 botnet detection, malware analysis, and hardware security. Previously taught an OSINT course at UMD and led the university's 1800+ member cybersecurity club.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/azyuzin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0284a1adccaf56e9d791717ce08f03d2fe4c099.jpg" }, { "user_id": 3680893, "full_name": "Jason Guo", "title": "Founder", "founder_bio": "Founder at Erinys (YC S26). Has experience in very diverse parts of the tech stack, from industrial PLCs to kernel exploitation. In-progress computer engineering degree in the University of Maryland.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jason-guo-225842381/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/796a9fd01db3d5b9c12c815d963a215c4e9e9311.jpg" }, { "user_id": 1511726, "full_name": "Matthew Pallan", "title": "Founder/CTO", "founder_bio": "Founder at Erinys (YC S26). Before Erinys, Matthew led greenfield development at multiple organizations, directing engineering across several product groups. He's a deep technical builder across domains, having engineered sub-290ns trading systems for HFT firms and worked in cybersecurity spanning exploitation and security systems. He scored a perfect 180 on the LSAT and studied Computer Science and Real Estate at the University of Maryland.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/~mp/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00dcf64db487dfb28e84e5bc0a965dd6082b6756.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109878, "title": "Erinys - Building the first network of AI-native law firms", "tagline": "The infrastructure for exceptional lawyers to build the firms of the future", "body": "**TL;DR:** Erinys is building a network of AI-native law firms. Lawyers bring their expertise, judgment, and client relationships. We provide the technology and business infrastructure that lets them launch a new practice or transform an existing one.\n\n\n\n\\\n**The problem**\\\nLawyers spend surprisingly little of their time doing work that requires their unique expertise.\\\n\\\nRunning a practice means finding clients, managing intake, hiring staff, handling billing, overseeing marketing, and keeping the business moving. Small firms burn lawyer hours on it; large firms hire entire teams to manage this. Either way, it kills time or margins.\\\n\\\nThe legal work itself is still built around lawyers producing everything. Lawyers spend hours turning raw information into research, analysis, and first drafts, even as AI becomes capable of producing much of that work. Existing legal software makes individual tasks faster, but leaves the underlying model unchanged.\\\n\\\nWe think that model should flip. AI should produce the first pass. Lawyers should direct, review, decide, and advocate.\n\n**How we solve it**\\\nErinys provides the infrastructure for lawyers to operate this way from the ground up.\\\n\\\nFor lawyers starting a practice, we help launch it. For lawyers with an existing practice, we help transition it onto the same model.\\\n\\\nOur systems run the business behind the practice while AI assists with fact development, legal research, analysis, and drafting under attorney supervision.\\\n\\\nThe result is a firm where lawyers spend more time exercising judgment and serving clients, and less time producing routine work or managing the day-to-day mechanics.\\\n\\\nOne exceptional lawyer can operate with the capabilities that previously required a much larger organization.\\\n\\\n**Why us**\\\nMost legal AI is being built to make the traditional law firm more efficient. We are building the infrastructure for a different kind of law firm, AI-native at its foundation.\n\nBefore Erinys, our founding team worked in offensive security, another high-stakes, sensitive, and deeply adversarial environment. We are bringing that security-first mindset to an industry entrusted with its clients’ most sensitive information.\n\n**Our Ask**\n\nWe’re looking for exceptional lawyers.\n\nIf you want to start your own practice, or already have one and want to make it AI-native, we want to talk.\n\nEmail us at [founders@erinys.ai](mailto:founders@erinys.ai) or visit [erinys.ai](http://erinys.ai)", "url": "https://www.ycombinator.com/launches/SaE-erinys-building-the-first-network-of-ai-native-law-firms", "votes": 19, "created_at": "2026-08-10T01:00:00.375Z" } ] }, { "id": 32127, "name": "Perceptron ML", "slug": "perceptron-ml", "former_names": [ "Perceptron ML", "Notyfi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23f18bbbc3a1b4a54c0c7513b5b49d243b55ff07.png", "website": "https://perceptronml.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build AI systems for law firms, trained on each firm's own matters and deployed privately in their environment: timekeeping, intake and matter monitoring, research, discovery, and drafting. Our grounding engine verifies every fact against a primary source before a model can cite it, which is why firms trust us with work that off-the-shelf legal AI keeps getting wrong.", "one_liner": "We make law firms AI-native.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782500527, "tags": [ "B2B", "Legal", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/perceptron-ml", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/perceptron-ml.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/perceptron-yc", "x_url": "https://x.com/PerceptronML", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/perceptron-ml", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23f18bbbc3a1b4a54c0c7513b5b49d243b55ff07.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3087509, "full_name": "Michael Marcotte", "title": "Founder/CEO", "founder_bio": "Founder at Perceptron ML (YC S26). Previously AI Research at NVIDIA, where he built production AI agents for hardware debugging and formal verification. Holds BS in Mathematics and MS in Computer Science from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcottemichael", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bf56925080a6f27803cf4df75bcb411a466ad4b.jpg" }, { "user_id": 3122328, "full_name": "Peyton Marcotte", "title": "Founder/CTO", "founder_bio": "Founder at Perceptron ML (YC S26). Previously founded PMARC, developing astronaut exercise equipment for long-duration spaceflight (supported by NASA, Brown University, and 1517 Fund grants). Studying Mechanical Engineering at Brown.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peytonmarcotte/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63ff90f1466f6dda0054cdb016ea612d9c73fd6b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110491, "title": "Perceptron ML: We make law firms AI-native", "tagline": "We help law firms claim the legal work they're leaving on the table by building AI and software around how each firm already works.", "body": "Hi everyone, we're Peyton and Michael Marcotte, brothers and co-founders of [Perceptron ML (YC S26)](https://www.linkedin.com/company/perceptronml/). We make law firms AI-native: we build the AI and software a firm needs to scale. Not a product off the shelf, a system built around how your firm already works, where no fact is used until it traces to a real document.\n\n[Perceptron ML (YC S26) Launch Video](https://drive.google.com/file/d/1c-5RUaBQsJWG-6vJsy0O8PLvAcgpuEco/view)\n\n**The problem.** In 2023, two New York lawyers filed a brief written by AI that cited six cases that did not exist. Courts have caught it more than a thousand times since. So most firms went back to doing everything by hand, and by hand the math is brutal: lawyers lose \\~40% of their day to work that isn't law, and tens of billions in legal work goes unclaimed every year because firms can't move fast enough to take it.\n\n**What we do.** Every firm's bottleneck is different, and it is never the one on the shelf. So we build what each firm actually needs: intake answered and filed at 2 a.m., demands drafted from the record, records requests chased until they land, deadlines and statutes watched, every hour matched to its matter, clients updated by text before they think to call. Every firm gets something different, but underneath it's all the same platform we built once: our grounding engine, our connectors into the firm's systems, and our agent runtime. That's what lets us build this broadly without being an agency.\n\n**Why you can trust it.** The AI we build doesn't guess. Every fact traces to a real document, verified against the primary source before a model can use it. Click anything, and the original opens.\n\n**Why us.** [Michael](https://www.linkedin.com/in/marcottemichael/) did AI research at NVIDIA (hardware-debugging agent in production). [Peyton](https://www.linkedin.com/in/peytonmarcotte/) led two NASA-supported research projects. We come from places where a confident wrong answer is unacceptable, and we started Perceptron ML because law is the biggest industry still run by hand for exactly that reason.\n\n**The ask.** If you know a managing partner, or the attorney who signs your invoices, we'd love an intro: [founders@perceptronml.com](mailto:founders@perceptronml.com)\n\n[perceptronml.com](http://perceptronml.com)", "url": "https://www.ycombinator.com/launches/Sk7-perceptron-ml-we-make-law-firms-ai-native", "votes": 7, "created_at": "2026-08-14T12:00:00.181Z" } ] }, { "id": 33804, "name": "Neomatter", "slug": "neomatter", "former_names": [ "Lightfield, Inc.", "Lightfield" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a30dd6a7d86e342da32a42b330195358721c4571.png", "website": "https://neomatter.com", "all_locations": "San Francisco, CA, USA", "long_description": "Neomatter connects to a company’s email, chat, and business systems and does the legal work before it reaches the legal team. It gathers context, applies company policies and past decisions, and presents the completed work to in-house counsel for approval.", "one_liner": "AI that works for in-house legal teams", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1786835532, "tags": [ "SaaS", "B2B", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/neomatter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/neomatter.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neomatterai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a30dd6a7d86e342da32a42b330195358721c4571.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1633544, "full_name": "Luke Wagner", "title": "Founder/CEO", "founder_bio": "Cancelled my plans for med school to move to San Francisco and co-found Neomatter (F26).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lukedwagner", "x_url": "https://x.com/lukedwagner12", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a2c49f5763a3e6526cc53dbfe11bf14250aef0c.jpg" }, { "user_id": 1374397, "full_name": "Luke Mainwaring", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Neomatter. Previously CTO at DAHLIA Intelligence where we built an agentic personal assistant for students. BCS in Computer Science, dropped out.", "is_active": true, "linkedin_url": "https://linkedin.com/in/luke-mainwaring-850a34203", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76cc9fa283e84cee7b035d8b118d6292ad7d445c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122248, "title": "Neomatter: The operating system for in-house legal teams", "tagline": "Every request shows up with the work already done.", "body": "## **TLDR**\n\nNeomatter is the operating system for in-house legal teams. It plugs into the places your company already works (email, Slack, Salesforce, etc) and picks up legal requests as they come in. When someone sends legal a contract or a question, the work is already done before a lawyer opens it, ready to review and approve.\\\n\\\n\n\n## **The problem**\n\nEvery part of your company runs through legal.\n\nSales needs contracts signed. HR needs employment agreements. Finance needs board approvals. And every department has legal questions.\n\nBut legal teams spend a lot of their time on repetitive work: reviewing the same terms, searching for old agreements, answering familiar questions, and chasing information.\n\nThe software tools haven't solved this. One tool manages contracts, another handles requests, and another tracks approvals. Lawyers still have to piece the work together themselves.\n\nAnd when teams reach capacity, companies hire more lawyers or send work to expensive outside firms.\n\n## **What we’re building**\n\nNeomatter takes a request from start to finish. It gathers context, reviews documents, checks the company’s policies and precedents, and prepares the work for approval.\n\n## **How it works**\n\nNeomatter monitors the places legal requests already come through (email, Slack, teams, Salesforce, and more) and automatically triages requests to the right lawyer. Nobody has to tag anything or learn a new tool.\n\nThen it does the work. It reads everything, does the redlines, checks it against your team’s playbooks, drafts the reply, and waits for your decision. By the time you know the matter exists, 90% of the work has already been done. The lawyer opens finished work, checks the sources, writes any edits, and makes the decision.\n\nAnd it can handle anything. Commercial work, employment work, corporate work, a “can I do this?” question, or anything else a legal team receives. Neomatter does it all.\n\n![uploaded image](/media/?type=post&id=122248&key=user_uploads/1633544/eecfd55b-a702-4725-b7b3-3baed9d62b2f)\n\n## **The team**\n\nWe’re Luke & Luke. We dropped out of university to move to San Francisco.\n\nWe believe AI has fundamentally changed how much work one person can do. After speaking with over 200 in-house legal teams, we realized AI can completely change the way lawyers work.\n\nWe’re building Neomatter to make that happen.\n\n## **The ask**\n\nIf you're a GC, Head of Legal, or in-house lawyer, book a call and we'll show you: \n\nIf you know someone who works in legal at a company, we'd love an intro.\n\nOr reach us directly at [founders@neomatter.com](mailto:founders@neomatter.com).\n\nLuke & Luke", "url": "https://www.ycombinator.com/launches/Vnk-neomatter-the-operating-system-for-in-house-legal-teams", "votes": 4, "created_at": "2026-10-15T17:00:00.152Z" } ] }, { "id": 35422, "name": "Praxis", "slug": "praxis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aac3b9688bfcfe828ca1449c50d9d85d7e55ad89.png", "website": "https://runpraxis.ai", "all_locations": "San Francisco, CA, USA", "long_description": "At Praxis, we’ve built AI agents that run law firm operations, from first inquiry to paid invoice. Agents do the admin end to end, and the lawyer supervises and approves every step. Firms reply in minutes, onboard clients in days instead of weeks, and spend their time practicing law.\r\n\r\nLawyers spend 62% of their day on admin nobody pays for: intake, conflict checks, chasing documents, engagement letters, follow-ups, billing. Every hour on admin is an hour a client waits, and clients go to the firm that answers first. One law firm owner shared: “Every month we lose 3-5 clients, $10k each, because we’re 3 paralegals to handle the process, it’s too slow.”\r\n\r\nWe’re live with law firms across the US.", "one_liner": "AI agents that run law firm operations.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1792015189, "tags": [ "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/praxis", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/praxis.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runpraxis/", "x_url": "https://x.com/runpraxis", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aac3b9688bfcfe828ca1449c50d9d85d7e55ad89.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d0cdfd40eb2852393a040ce80a4ee3e6dbedea22.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1081032, "full_name": "Diana Khramina", "title": "Founder/CEO", "founder_bio": "Founder at Praxis. Previously GTM Lead of AI Agent at Gorgias, scaling from 0 to 1,000+ paying customers and $8M ARR in under 1 year. Before that, Chief of Staff to the CEO at Gorgias and Senior Consultant at McKinsey & Company. Started career in M&A and Private Equity at Edmond de Rothschild and ISAI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/diana-khramina/", "x_url": "https://x.com/KhraminaDianka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d96d7e2b7bfeb19c00836c5e0f39242f026764e0.jpg" }, { "user_id": 2657898, "full_name": "Maxence Guegnolle--Santi", "title": "Founder/CTO", "founder_bio": "Founder at Praxis. Previously AI Engineer at SightCall building multimodal knowledge platforms and video analysis pipelines. Data Engineer at BlaBlaCar, Uber and iOS developer at NextDNS. Studied CS at Ecole 42 & Stony Brook.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mguegnol", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0719136e19552a321bd45160e11f7909a15584f5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122246, "title": "Praxis: AI agents that run law firm operations, from first inquiry to paid invoice", "tagline": "Agents do the work, the lawyer approves every step, and clients get served first.", "body": "Hi, we’re [Maxence](https://www.linkedin.com/in/mguegnol/) and [Diana](https://www.linkedin.com/in/diana-khramina/), co-founders of [Praxis](https://runpraxis.ai/).\n\n**TL;DR: At Praxis, we’ve built agents that run law firm admin tasks end to end. Agents do the work, and the lawyer supervises and approves every step. Firms reply in minutes, onboard clients in days instead of weeks, and spend their time practicing law.**\\\n\\\n[https://drive.google.com/file/d/1lxtcy55l5t2dvd82J1_px194DW-Y6RXl/view](https://drive.google.com/file/d/1lxtcy55l5t2dvd82J1_px194DW-Y6RXl/view?usp=drive_link)\n\n\\\n**Why we built Praxis**\n\nLaw firms spend 62% of their time on admin tasks they don’t bill. Client data lives in tools that don’t talk to each other, and legal assistants copy data from one system to another and chase documents by email for weeks. To keep up, law firms hire more assistants.\n\nThis is how costs grow with every new client, and the firm still moves slowly. Replies slow down, follow-ups slip, and clients go to the law firm that serves them first. One firm told us it loses at least $350k a year in clients this way.\n\n**Product**\n\nAt [Praxis](https://runpraxis.ai/), we’ve built AI agents that run law firm operations, from first inquiry to paid invoice. Agents do the admin end to end, and the lawyer supervises and approves every step.\\\n\\\nHere’s how it works:\n\n* **Win:** every inquiry answered in minutes, qualified against your rules and conflict-checked, with the engagement letter drafted for your approval.\n* **Onboard:** client data and documents collected and verified at upload. Missing or outdated ones are chased automatically, so work starts in days, not weeks.\n* **Run:** tasks tracked, clients and counterparties chased for the next step, and the client follows progress live in their portal.\n* **Get paid:** invoices are sent, tracked and chased until paid.\n\nFirms reply faster, stop paying people to copy-paste, and spend their time practicing law.\\\n\\\n➡️ **Sign up to get early access to Praxis today at [runpraxis.ai/waitlist](https://runpraxis.ai/waitlist).**\n\n\\\n**Market & timing**\n\nLegal is a \\~$1T services market that's still only 4% software. Every knowledge industry we've digitized flipped that ratio. Legal hasn't yet.\n\nThe first AI wave (Harvey, Legora) created huge market excitement around AI for law firms, but they went after the legal work at large firms: contract review and drafting. Client operations at small and mid-sized firms remain underserved and incumbents like Clio or 8am struggle to become fully AI-native.\n\n**About Us**\n\nWe’re a team of builders who’ve scaled fast-growing startups and worked hands-on with law firms. We believe lawyers shouldn’t be buried in low-value work. They should make the judgment calls, while clients feel every bit of the speed. 💨\n\n**— [Diana](https://www.linkedin.com/in/diana-khramina/), CEO.** Scaled Gorgias's AI Agent from 0 to 1,000+ paying customers in under a year, and worked with law firms at McKinsey.\n\n**— [Maxence](https://www.linkedin.com/in/mguegnol/), CTO.** AI & Data Engineer at Uber and BlaBlaCar, companies serving 100+ million people and he comes from a family of lawyers.\n\n![uploaded image](/media/?type=post&id=122246&key=user_uploads/1081032/d806f71c-3888-429e-b484-22c466c8448b)\n\n", "url": "https://www.ycombinator.com/launches/Vni-praxis-ai-agents-that-run-law-firm-operations-from-first-inquiry-to-paid-invoice", "votes": 8, "created_at": "2026-10-15T16:00:00.155Z" } ] } ]