How Lawyers Use AI for Contract Drafting

This post details the evolution of contract drafting capabilities within Harvey, specifically focusing on the integration of AI for both generation and revision of legal agreements. It introduces the concept of AI contract drafting as a combination of generation, revision, and extraction/comparison, powered by retrieval-augmented generation (RAG). The post highlights how this capability leverages a firm's institutional knowledge (templates, precedents, negotiated positions) to produce grounded and traceable outputs. It outlines specific workflows where this AI capability excels, such as NDA redlines, SaaS agreement turnarounds, employment offer letters, and procurement template population. The benefits discussed include faster turnaround, higher draft quality, better knowledge sharing, more time for judgment work, and increased capacity. The post also details integration patterns within existing legal workflows (document editors, email) and emphasizes the importance of governance, audit trails, and citation visibility.