AI for Regulatory Compliance: Monitor, Interpret, Act

This post details the application of AI to regulatory change management, focusing on the 'interpret' and 'act' stages after initial monitoring. It describes how AI can assess applicability of regulations based on entity, activity, and jurisdiction, and how it can translate interpretations into updated obligations, policies, and controls. The post also emphasizes the importance of human oversight and grounding AI outputs in source materials for auditability and trust. It positions Harvey as a tool that complements existing monitoring platforms by assisting with interpretation and action, rather than replacing them.