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AI Governance Framework

A structured set of policies, roles, controls, and accountability mechanisms governing how an organization develops, procures, and deploys AI — required under the EU AI Act for high-risk use cases.

Last reviewed: 2026/05/18

Definition

Why It Matters for Lawyers

Frequently Asked Questions

Q: Does a small law firm need a formal AI governance framework?
A fully documented framework is primarily obligatory for deployers of high-risk AI systems under the EU AI Act. However, any firm using AI in client work benefits from a lightweight policy covering permitted tools, confidentiality obligations, and output verification expectations — both for risk management and to meet bar association guidance.
Q: What is the minimum viable AI governance framework for a legal team?
At minimum: an AI use policy, a list of approved tools with their risk classifications, a defined review process for new AI adoption, and a named person responsible for AI incidents. This forms the foundation from which a fuller framework can be built. --- *Last reviewed: 2026-05-19 by LawyerAI Editorial Team.*

Last reviewed: 2026/05/18. Definitions are written by the LawyerAI Editorial team. We do not accept affiliate commissions; Featured placement is clearly labeled and does not influence editorial content.

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© 2026LawyerAI Editorial

An AI governance framework is the documented system by which an organisation manages the risks, decisions, and accountability associated with artificial intelligence across its lifecycle. It typically includes an AI use policy, a risk classification methodology, designated oversight roles (such as an AI committee or responsible AI lead), procurement standards, incident response procedures, and audit mechanisms. The EU AI Act explicitly requires deployers of high-risk AI systems to have governance structures in place before putting such systems into service.

Legal teams are both users of AI tools and advisors to clients building AI governance programmes. Law firms that lack a documented AI governance framework expose themselves to professional responsibility risk when AI errors occur without traceable oversight. For in-house legal departments, an AI governance framework is increasingly a board-level expectation and, in regulated sectors, a regulatory requirement.