Defensible Decisions- Attorney-Client Privilege and the AI Record-Creation Problem [Podcast]

Short summary

This podcast episode examines the legal risks when employees input sensitive information into AI systems, emphasizing that AI chat logs are discoverable records that can document managerial intent and create pretext evidence in employment litigation. The speakers recommend enterprise-level monitoring, governance policies, and privilege-protected bias testing before plaintiffs' counsel exploits gaps. It is aimed at legal and HR leaders managing AI adoption risk.

• •AI chat logs on company platforms are discoverable and can create pretext evidence in employment litigation
• •Employers need enterprise-level monitoring and governance policies for employee AI use
• •Privilege-protected bias testing should be conducted proactively, not reactively

Generated with AI, which can make mistakes.