How AI agents are changing the way lawyers do legal work

This post details the architectural shift in legal AI from prompt-centric tools to agent-driven task execution. It outlines the five stages of an agent's workflow (Plan, Research, Work, Deliver, Review) and categorizes agent deployment into ad hoc, pre-built, and custom agents. The contribution highlights how agents are changing the nature of legal work by automating repeatable tasks in transactional, litigation, compliance, and in-house operations, and discusses the implications for associate training and AI governance.