AI Governance for Legal Teams: A Practical Guide to Governing AI Without Slowing Down Adoption
Legal is one of the most AI active parts of the enterprise, and one of the least governed. Learn how to inventory what's running, close the professional responsibility gaps, and build oversight that holds up under scrutiny.
Download Now: AI Governance for Legal Teams
Your attorneys are already using AI, whether or not it went through IT.
Associates are drafting with ChatGPT. Partners are running contracts through third party tools. In house teams have copilots embedded across contract review, litigation support, and compliance workflows. Almost none of it has been inventoried or governed the way the rest of your tech stack is.
That gap creates risk that’s specific to legal work: privileged communications processed by models that retain data, AI generated research incorporated into filings without detection, and compliance obligations with no audit trail behind them.
This guide gives CISOs, General Counsel, IT directors, and risk leaders a practical framework for governing AI at the point where it touches client data and legal work product, not after the fact.
Key Takeaways:
- Most firms run four times more AI tools than they expect, across sanctioned tools, personal accounts, and vendor extensions, most of it invisible to IT.
- Shadow AI is the highest risk surface in legal, with the majority of AI usage happening through personally provisioned tools with no policy enforcement.
- Governance has to work at the agent level. The real question is what an AI agent can do, to what data, and with what human oversight at each step.
- Human oversight can’t depend on attorneys remembering to apply it. Legal work product needs review gates built into the workflow itself.
- You can’t govern what you can’t see. A complete, continuously updated inventory is the prerequisite for every other governance activity.
Download the guide to learn more.