Navigating AI Governance & Information Governance

Why It Matters

Robust AI governance reduces legal and reputational risk, ensures regulatory compliance, and enables organizations to safely capture AI’s business value; without it companies face mounting regulatory exposure and fractured, inconsistent practices.

Summary

Speakers defined AI governance as a practical framework that balances the technology’s risks—bias, hallucinations, regulatory exposure—with its operational benefits, likening current needs to moving from stop signs to air traffic control as AI scales. They stressed building principled, forward-looking rules of the road rather than retrofitting old controls, and recommended cross-functional governance with legal and compliance at the table. Panelists described starting points including company-wide policies, alignment with existing codes of ethics, and adapting to client and regulator demands (e.g., EU and U.S. state laws). The discussion emphasized iterative governance that anticipates future capabilities while enabling productive, accountable AI use today.

Original Description

What do legal operations professionals need to know about AI adoption, governance frameworks, and data stewardship?

Key Takeaways:

Practical guidance on AI governance policies and compliance risks

Examples of how organizations are balancing innovation with responsible use

“What to tell your boss”: Guardrails and opportunities for AI in legal ops