As AI becomes embedded across legal research, document review, and knowledge retrieval, legal teams face a critical shift: success is no longer defined by how much information you store, but by how confidently you can rely on it.

Knowledge Management now serves as the backbone of defensible, compliant, and decision-ready legal work. The way legal content and documents are structured, governed, and maintained directly determines whether AI outputs are accurate, contextual, and grounded in trusted source materials.

This session explores how modern legal KM leaders are evolving beyond document management to focus on governance, content integrity, and human oversight, ensuring AI enhances legal judgment rather than undermining it.

Discussion topics include:

• Where AI adds value in legal knowledge workflows—and where human expertise remains essential
• How to design taxonomies, metadata, and governance frameworks that improve AI reliability and legal accuracy
• Building trusted sources of truth for contracts, policies, case law, and internal legal guidance
• Creating human-in-the-loop review models that support privilege, compliance, and ethical use of AI
• Aligning Knowledge Management, Legal Operations, IT, and Security to scale AI responsibly across the legal function