AI governance
In more depth
Governance translates abstract principles—accuracy, confidentiality, accountability—into concrete mechanisms: who may use which tools, with what data, under what review, and who answers when something fails. In legal organizations it typically spans professional-responsibility duties, client confidentiality commitments, and emerging AI regulation. Mature programs cover the full lifecycle, from vetting and approval through monitoring, incident response, and periodic audit.
Related terms
Educational information, not legal advice. AI terminology and tools change quickly; definitions reflect usage as of the last-updated date. For what bar associations and courts actually require of lawyers using AI, see legalaicompliance.help and consult a licensed attorney in your jurisdiction.