The rapid proliferation of AI tools across corporations and in law firms is creating new and often unforeseen litigation risks—many of which are emerging faster than legal teams can identify, control, or remediate them. From AI-generated transcripts, summaries, and recordings created without proper consent, to automated decision-making embedded in everyday workflows, to AI being used to prepare for litigation, these technologies are reshaping how evidence is created, stored, altered, and presented in disputes. This session examines AI use—whether enterprise-approved or employee-initiated—are introducing new exposure across discovery, evidentiary integrity, privacy, and litigation strategy. We will move beyond the theory to share practical frameworks for auditing AI data, authenticating evidence, and implementing defensible safeguards that protect your organization in real-time. Discussion topics include:

• Types of risks legal teams must now anticipate, the challenges of tracing and defending AI-influenced data
• Emerging discovery and preservation challenges created by AI-driven transcription, summarization, and automated data processing
• Practical steps organizations can take to mitigate litigation risk in an environment where AI usage is accelerating faster than policy, training, and oversight