How to Redline a Contract With AI

This post details the operational workflow for AI-assisted contract redlining, focusing on the practical steps legal teams take to configure and utilize the system. It introduces the concept of AI-generated tracked-change markups with explanations, and emphasizes the importance of configuring review standards (clause-level rules, escalation criteria, practice-specific customization) as the primary determinant of AI output quality. The post outlines a six-step process: contract intake, configuring review standards, AI-assisted first pass, human review and strategic decisions, iterative back-and-forth with the AI, and final review. It also addresses accuracy and governance, highlighting factual correctness and party-awareness, and the need for a feedback loop to update review standards based on lawyer decisions.