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LawLM — Evidence intelligence for litigators. Upload a deposition and our structured evidence model automatically organizes the record across five dimensions — timeline, credibility, key testimony, legal issues, and liability & damages. Cited summaries, cross-witness conflict analysis, and damages valuation, every claim tied to page & line. Pay-per-use ($49/depo), billable to the client. $200 free credits. Try the live demo → lawlm.ai/demo
Thanks for checking out LawLM 🙏 The honest origin story: I'm a litigator, and I built this out of frustration with my own job. Deposition review is some of the most important work in a case — it's where the contradictions live, where credibility gets made or broken — and I was doing it by hand. Highlighters, legal pads, sticky tabs, re-reading the same 200 pages to find the one line where a witness changed their story. Nights and weekends gone. It wasn't just inefficient; it was the kind of grind that burns people out of this profession. So the problem I set out to solve was narrow at first: summarize the transcript faster. Get me a clean, cited summary so I'm not starting from a blank page. But the deeper I got, the more I realized a summary wasn't the actual job. A summary tells you what's in one deposition. What I needed was to understand the case — how three witnesses' accounts line up, where the credibility is shaky, what the evidence says about liability and damages. That's when the approach shifted from "AI summarizer" to a structured evidence model: organize every transcript the same way (timeline, credibility, key testimony, legal issues, liability & damages), then let that structure power cross-witness conflict analysis and case valuation. The summary became the front door, not the product. The thing I most believe: AI shouldn't replace legal judgment. It should hand you the record, already organized, so you can spend your time thinking instead of hunting. Would love your feedback — I'm in the comments all day.
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About LawLM.ai on Product Hunt
“Evidence Intelligence for Complex Litigation”
LawLM.ai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #151 on the daily leaderboard. LawLM — Evidence intelligence for litigators. Upload a deposition and our structured evidence model automatically organizes the record across five dimensions — timeline, credibility, key testimony, legal issues, and liability & damages. Cited summaries, cross-witness conflict analysis, and damages valuation, every claim tied to page & line. Pay-per-use ($49/depo), billable to the client. $200 free credits. Try the live demo → lawlm.ai/demo
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Michael Aiken
Thanks for checking out LawLM 🙏
The honest origin story: I'm a litigator, and I built this out of frustration with my own job. Deposition review is some of the most important work in a case — it's where the contradictions live, where credibility gets made or broken — and I was doing it by hand. Highlighters, legal pads, sticky tabs, re-reading the same 200 pages to find the one line where a witness changed their story. Nights and weekends gone. It wasn't just inefficient; it was the kind of grind that burns people out of this profession.
So the problem I set out to solve was narrow at first: summarize the transcript faster. Get me a clean, cited summary so I'm not starting from a blank page.
But the deeper I got, the more I realized a summary wasn't the actual job. A summary tells you what's in one deposition. What I needed was to understand the case — how three witnesses' accounts line up, where the credibility is shaky, what the evidence says about liability and damages. That's when the approach shifted from "AI summarizer" to a structured evidence model: organize every transcript the same way (timeline, credibility, key testimony, legal issues, liability & damages), then let that structure power cross-witness conflict analysis and case valuation. The summary became the front door, not the product.
The thing I most believe: AI shouldn't replace legal judgment. It should hand you the record, already organized, so you can spend your time thinking instead of hunting.
Would love your feedback — I'm in the comments all day.