As AI becomes more embedded in legal research platforms, knowledge and research professionals are under increasing pressure to move quickly without compromising data security, professional responsibility, or quality. This session explores how law libraries can design and operationalize a repeatable, scalable assessment framework for GenAI-powered research tools that balances innovation with risk management.

This presentation will walk through a structured, stage‑gated assessment model covering pre‑scoping, technology and security review, risk assessment, and controlled user testing. Attendees will learn how vendor questionnaires and appropriate use guidance can be used to assess issues such as confidentiality, model training, jurisdictional variation, hallucination risk, and the role of human verification.

TARGET AUDIENCE:

Knowledge and research leaders and professionals involved in AI tool evaluation and rollout

TAKEAWAYS:

1. Key questions to ask vendors about data use, training, and regional deployment
2. Guidance on defining appropriate and responsible use for research GenAI tools
3. Steps for a repeatable GenAI research assessment workflow

SPEAKERS:

• Laura Maury, Manager, Research and Information Alerts, Baker McKenzie

AALL BODY OF KNOWLEDGE DOMAINS: Information Management, Management + Business Acumen

All AALL webinars include live captioning services.

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