How Harvey Scales Redline Review to What Really Matters

This post details the technical advancements in Harvey's redline review capabilities, specifically focusing on how AI-assisted comparison scales the process to identify risk-relevant changes. It introduces a materiality framework to test edits for changes in obligations, risk allocation, or deviations from playbook ranges. The system then performs playbook-grounded comparison to surface deviations from approved standards or acceptable fallbacks, presenting them as a prioritized issues list. The output is structured to provide lawyers with plain-text summaries of new obligations, categorization by type, flagging of conflicts, and an open issues list, enabling decision-making within the lawyer's existing working environment.