Free Downloads
AI Compliance and Data Privacy in U.S. Legal Teams: A Practical Governance Framework
AI is already inside most legal organizations. It is being used for drafting, billing review, intake, analytics, and internal research, and in many firms, that shift happened faster than anyone planned for. The tools arrived, people adapted, and the work continued.
What did not keep pace was control.
Today, when leadership, clients, or regulators ask where AI is being used, what data it touches, and who is accountable for the outcomes, most legal teams cannot answer those questions with confidence. That is no longer a gap that can wait. Regulatory expectations are tightening, client scrutiny is growing, and the firms that cannot demonstrate control over their AI use are increasingly the ones caught off guard.
This whitepaper focuses on what legal teams actually need to understand and implement to close that gap. It is built around practical controls, clear ownership, and the governance foundations that make AI use auditable, defensible, and aligned with where regulation is heading.
What will you learn?
- Why AI adoption creates compliance risks, existing privacy programs were not built to handle
- What regulators are actually testing for in enforcement and audit scenarios
- How privacy law, AI governance, and cybersecurity work together as a single framework
- A step-by-step playbook for assessing and governing AI use across legal workflows
- How to assign accountability and build an audit trail before it is demanded of you
You’re just one step away. Download the whitepaper to get started.