AI agents review multi-document deal rooms, identify change-of-control provisions, assess transaction risk, recommend next steps, and produce draft memoranda for legal teams and boards.
Lawyers still need to verify issues, assess materiality, confirm legal judgment, and approve any advice or work product before it is used in a transaction.
AI reviews target-company contracts in the data room and pulls assignment, consent, and change-of-control provisions into a diligence tracker for lawyers to validate.
Kira / LuminanceAI categorizes contracts by risk and generates a first-pass issues list highlighting termination rights, anti-assignment language, and missing consents for the deal team.
Luminance / CoCounselAI turns reviewed agreements and flagged diligence points into a draft transaction memo summarizing material risks, likely next steps, and open questions for partner review.
Harvey / Lexis+ ProtégéI help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.
Design and build LLM-powered products and agentic systems
Go from idea to production with a clear implementation roadmap
Build AI with human-in-the-loop in regulated environments
Some thoughts on the recent launch by Harvey of its Legal Agent Benchmark, or LAB, an open-source evaluation framework designed to measure how well AI agents can perform extended, real-world legal work, as opposed to discrete reasoning tasks.