Introducing AI to the Legal Department

About this session

Legal teams are often cast as the obstacle to AI adoption, but the resistance is usually rational: confidentiality obligations, privilege concerns, unclear data retention terms, and professional responsibility rules that were not written with generative tools in mind. This session reframes the conversation, offering a practical path for introducing AI capability into legal and contracting workflows without creating exposure. We'll examine which legal tasks are genuinely low-risk entry points — clause comparison, first-pass redlines against a playbook, summarizing negotiation history — and which require human control end to end. We'll also discuss vendor diligence questions legal should be asking, how to evaluate training-data and confidentiality terms, and how to write internal use guidance that people will actually follow rather than quietly ignore.

Takeaways

Identify defensible starting use cases for AI within legal and contracting functions

Evaluate AI vendor terms for confidentiality, retention, and training-data risk

Draft usable internal guidance that balances enablement with professional obligations

Speakers

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  Jim Wagner

  SVP, AI and Product Innovation · WCG Clinical

  Speaker

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  Michael Nichols

  Sr. Assistant General Counsel · Moffitt Cancer Center

  Speaker

• TL

  Theresa Latham

  Associate General Counsel - Life Sciences · H. Lee Moffitt Cancer Center and Research Institute, Inc.

  Speaker