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L2 · Confidentiality, privilege, accuracy and professional duties9 min read

Privilege and work product when AI is involved

Attorney-client privilege generally protects confidential communications between lawyer and client for legal advice. Work-product protection covers materials prepared in anticipation of litigation, typically by or for counsel. AI raises a simple question for both: was confidentiality kept, and who directed the work?

The risk

If privileged material is shared with a third party in a way that isn't confidential, privilege can be waived. A consumer AI tool whose terms allow the provider to train on, review or disclose your data looks a lot like that third party.

The first court answer

In United States v. Heppner (S.D.N.Y., February 2026), Judge Jed Rakoff held that documents a criminal defendant created with the consumer version of an AI tool, to prepare his defence before indictment, were protected by neither privilege nor work product. The court's reasons:

  • the AI is not a lawyer, so the exchange was not a lawyer-client communication;
  • the tool's terms allowed the provider to use prompts for training and to disclose data, so there was no reasonable expectation of confidentiality;
  • the defendant acted on his own, not at counsel's direction, which defeated work product.

The court suggested the analysis could differ where counsel directs the use, for example under a Kovel-type arrangement, and where the tool keeps data confidential.

Practical protections

  • Use enterprise tools with no-training, confidentiality and limited-retention terms for privileged work.
  • Use AI at the direction of counsel on privileged matters, and record that direction.
  • Label AI-assisted work product and limit access to the matter team.
  • Tell business colleagues not to "ask the AI" about legal problems in consumer tools; it may create discoverable, unprivileged documents.
  • Consider privilege in AI logs: prompts and outputs are stored somewhere and may be discoverable.

What this means for the General Counsel

What this means for a General Counsel

Heppner is a criminal case about a defendant using a consumer tool on his own, but its reasoning travels. Your business colleagues already paste legal problems into chatbots. Those exchanges may not be privileged and may be discoverable.

Act on three fronts: an approved enterprise tool with confidentiality terms for legal work; a privileged-matter AI protocol (counsel direction, labelling, access); and a plain-language message to the business: "Bring legal questions to legal, not to a public chatbot." Review your legal hold process to include AI prompts and outputs.

Diagram

Privilege and work product when AI is involved

Real example

On 10 February 2026, Judge Jed S. Rakoff of the U.S. District Court for the Southern District of New York ruled in United States v. Heppner that about 31 documents a defendant generated with the consumer version of Anthropic's Claude, after receiving a grand jury subpoena, were not protected by attorney-client privilege or the work-product doctrine. A written opinion followed on 17 February 2026. The court relied on the tool's terms allowing data use for training and disclosure, and on the fact that the defendant acted without counsel's direction. Source: American Bar Association, Litigation Section — AI communications not privileged: what United States v. Heppner means for corporate clients ↗ · McGuireWoods — When AI isn't privileged, confirmed: SDNY's written opinion elaborates on confidentiality, work product and waiver (18 February 2026) ↗

Use it

Quick check · 3 questions

  1. 1.In Heppner, why did the court find no reasonable expectation of confidentiality?

  2. 2.Which step most strengthens a work-product argument for AI-assisted analysis?

  3. 3.What should a General Counsel tell business colleagues after Heppner?

0 of 3 answered

Sources

Last reviewed 2026-10-01.