AI and the Work-Product Doctrine: A New Frontier

Why It Matters

The ruling extends core litigation protections to modern AI‑driven drafting, reshaping discovery strategies for both plaintiffs and employers. It signals that AI tools are now integral to legal work‑product considerations, affecting how firms manage privileged information.

Key Takeaways

• Michigan court extends work‑product protection to AI‑generated drafts.
• Pro se litigants can claim work‑product privilege despite using AI.
• AI use does not constitute waiver unless disclosed to adversary.
• Decision warns employers of discovery risks with AI tools.
• Firms should implement AI usage policies and safeguard protocols.

Pulse Analysis

The integration of generative AI into legal workflows has accelerated faster than the courts’ doctrinal updates. In Warner v. Gilbarco, the Michigan district court confronted this gap by applying the work‑product doctrine—traditionally reserved for attorney‑generated analysis—to a plaintiff’s ChatGPT interactions. By treating AI‑generated drafts as the plaintiff’s mental impressions, the court affirmed that the privilege’s protective shield adapts to technology, ensuring that strategic thinking remains confidential even when a machine assists in its articulation.

For pro se litigants, the decision removes a lingering uncertainty: they can now invoke work‑product protection without the fear that AI usage automatically waives the privilege. The court clarified that waiver requires either intentional disclosure to the opposing party or conduct that makes the material likely to reach the adversary. This standard aligns AI‑assisted drafting with conventional privilege doctrine, meaning that represented parties using AI tools must similarly guard against inadvertent disclosures. As AI becomes ubiquitous in document creation, the ruling sets a precedent that could influence future appellate opinions across jurisdictions.

Practitioners and corporate legal departments must translate this jurisprudence into concrete safeguards. Implementing clear policies on AI tool selection, data retention, and access logs can prevent accidental waiver. Training staff to treat AI prompts and outputs as privileged material, and to store them in secure, attorney‑only repositories, mitigates discovery exposure. As courts continue to grapple with AI’s role, proactive compliance not only protects privileged work product but also positions firms to leverage AI’s efficiencies without compromising legal risk management.