Generative AI chat history is the newest category of evidence in HR and misconduct investigations — and one of the most rapidly evolving.
The straightforward cases: enterprise deployments of ChatGPT, Copilot, and Claude with admin-enabled audit logs. Every prompt is captured, with user identity, timestamp, and response content. For HR-relevant inquiries — was an executive using AI to draft inappropriate communications, was a departing employee using AI to repurpose proprietary content, was there evidence of bias in AI-assisted decision-making — the audit log is dispositive.
The harder cases: personal-account AI usage on company devices. ChatGPT's consumer tiers don't expose audit logs to employers. But browser-side artifacts, endpoint cache files, clipboard logs, and device-side AI assistant integrations (Apple Intelligence, Windows Copilot) frequently preserve enough to establish that AI tools were used, when, and what the general subject was.
Practical implications for HR and in-house counsel:
1. Establish AI tool usage policies before you need them. Acceptable-use policies that explicitly address AI tool usage make subsequent investigations cleaner.
2. Enable audit logging on enterprise AI deployments. Many organizations have deployed M365 Copilot or ChatGPT Enterprise but never enabled the audit configuration.
3. Train investigators to look for AI artifacts. Standard HR-investigation playbooks rarely include AI-tool evidence collection. This needs to change.