From Human-in-the-Loop to Human-at-the-Helm: Navigating the Ethics of Agentic AI

National Law Review
Agentic AI transforms legal work from tool to autonomous actor, requiring lawyers to supervise actions, adopt decision logs, and maintain ethical oversight.

Summary

Legal AI is moving from passive tools to agentic systems that can perform multi-step actions such as drafting, filing, and communicating. This shift raises ethical risks because supervision must now cover not only what is produced but also what the system is authorized to do. Lawyers must stay competent by understanding the reasoning behind AI outputs, verify every claim against source documents, and maintain audit trails. The article introduces a traffic-light framework: green-light tasks like intake routing can be fully automated, yellow-light tasks such as drafting memos require human verification of AI-generated content, and red-light tasks like settlement negotiations or court appearances must remain under human control. Governance recommendations include defining agent scopes, mandating human release before any external communication, restricting use of public data for sensitive information, preserving reasoning logs, and standardizing billing descriptions. By embedding these practices, firms can leverage agentic AI while preserving accountability and public trust.

(Source:National Law Review)

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