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Vertical AI · Startup idea
Harvey solved AI for the BigLaw partner. Nobody solved it for the 90% of lawyers who work in firms under 50 attorneys, where billables matter more than research depth.
Why now
Solo practitioners and small firms still bill by the hour. The AI tool that drafts a contract, redlines a brief, and outputs a billable-hours export to Clio wins the long tail. The buyer is the small-firm partner who already pays $200/mo for LawPay.
The idea you could build today
A Clio / MyCase / PracticePanther integration that ingests case files, generates first drafts of motions / contracts / discovery responses. Tracks AI-assisted time as a separate billable. Ships with a redline review surface.
Build stack
The three repos already trying
Deploy frequency spike
+160%
14-day velocity Δ
65 contributors
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Framework migration
+109%
14-day velocity Δ
100 contributors
Engineering hiring burst
+55%
14-day velocity Δ
97 contributors
Matched against the current-period startup signal panel (legal-tech, ai-ml). Rankings shift weekly as the underlying GitHub activity moves. Read the methodology.
The seed-round pattern hiding in the trendline
Legal-tech OSS repos that ship an LLM contract-review module hit the seed-stage tell. The velocity bump in the redline / diff layer is the lead indicator.
Harvey is AmLaw 200. Spellbook is contracts only. Robin is litigation-flavored. The wedge is the solo / small-firm operator who doesn't fit any of them.
Use the signal, not just the idea
The repos above re-rank automatically as commit velocity, contributor growth, and new-repo creation move. Want the data feed for this idea wired into your own stack? The MCP server exposes every signal as a tool any agent host can query.
Updated 2026-05-18. The framing is editorial; the “three repos already trying” slot is generated from the live signal panel. Anonymity rule: we name public GitHub orgs, never individual founders or stealth teams.