How to Automate Contract Analysis With AI

This post details the practical implementation of AI-powered contract analysis, focusing on the technical aspects of identifying automatable workflows (extraction, classification, risk flagging, obligation tracking) and evaluating AI platforms. It emphasizes the use of retrieval-augmented generation (RAG) for grounding AI outputs in verifiable source language and the importance of domain specificity, verifiable citations, and security in platform selection. The post also discusses the strategic approach to selecting initial use cases based on volume, repetitiveness, and consequence of error.