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Masterclass

Demystifying AI Frameworks for Legal, Security, and Compliance Teams

AI governance is evolving quickly, but the guidance available to organizations is fragmented across state laws, industry standards, and voluntary frameworks.

For legal, risk, and compliance teams, it’s already hard to keep up with every new requirement.

So how do you identify common principles that matter and turn them into practices your organization can apply, document, and defend?

In this session, we’ll bring together legal and security perspectives and explore what frameworks such as NIST and ISO are asking organizations to do, how those expectations connect to emerging regulatory requirements, and where teams should focus first.

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The Problem

AI governance today can feel a lot like privacy governance did 15 years ago: new requirements continue to emerge, standards do not always align, and there is no single playbook that tells every organization exactly what to do.

That patchwork creates practical questions for teams adopting or overseeing AI:

  • Which laws, standards, and frameworks should we prioritize?
  • What common themes can help us build a durable governance program?
  • How can we show where AI-assisted outputs and decisions came from?
  • What evidence will help us demonstrate compliance when requirements evolve?

    • The answer is not to chase every framework independently. It is to build toward core principles that make AI systems more transparent, traceable, and accountable.

    What You’ll Learn

  • Why data provenance and audit trails are becoming foundational to defensible AI decisions.
  • How to document the data, models, inputs, and decision paths behind AI-assisted outputs.
  • What legal, risk, compliance, and security teams can prioritize now—even while the regulatory landscape continues to change.
  • How to move from abstract principles to practical governance processes your organization can apply and explain.

    • Owen Denby

    General Counsel | Sayari

    Owen oversees all legal and compliance matters for the organization. With deep expertise in international trade, sanctions law, and regulatory compliance, he brings strategic perspective to how risk intelligence is applied in highly regulated industries.

    Liza Cotter

    Partner | Weil

    Liza Cotter is a partner at Weil, Gotshal & Manges in the Privacy & Cybersecurity and Technology & IP Transactions practices, and a member of the firm's AI Task Force. She is a guest lecturer on AI and privacy at MIT Sloan and has been named to Lawdragon's inaugural "100 Leading AI & Legal Tech Advisors" list. Her practice includes helping companies navigate the fast-moving patchwork of privacy, data security and AI regulations.

    Steve Cobb

    Field CISO at Zafran Security

    Steve Cobb has more than three decades in security and enterprise IT. He is a founding board member of CarolinaCISO, a 2026 ORBIE Awards finalist, and a frequent speaker and voice in the security community. His work centers on the practitioner side of security leadership: turning exposure and threat data into decisions the business can actually act on.

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