Document Intelligence for Legal Review

A mid-size law firm spent an average of 12 hours per contract on initial review. Associates manually read through 50-100 page documents to identify key terms, obligations, and risk areas.

Review time was the bottleneck for deal velocity. Junior associates missed clauses under time pressure. No standardized checklist — quality depended entirely on who did the review.

Worked with senior partners to define a clause taxonomy and risk framework. Built a pipeline that chunks documents, classifies sections, extracts key terms, and flags deviations from standard language.

Python backend with LangChain for document processing orchestration. Claude API for clause extraction and risk assessment. React frontend with side-by-side document view and annotation overlay. AWS S3 for secure document storage.

Initial review time dropped from 12 hours to under 2. Risk flag accuracy hit 94% after calibration. The firm increased deal throughput by 40% without adding headcount.

Domain expertise encoded into AI systems creates leverage. The system isn't replacing lawyers — it's giving every associate the pattern recognition of a senior partner.