Karsten Wenzlaff, Advisor
August 26th, 2025
February 17 2026 | Market Insight | Artificial Intelligence Governance

Image: Freepik
On February 17 2026, a New York federal court ruled in United States v. Heppner that written exchanges between a defendant and Anthropic’s Claude are not protected by attorney client privilege or the work product doctrine.
The case centred on about 31 documents that recorded the defendant’s interactions with Claude. Investigators collected the files during a search after the defendant received a grand jury subpoena and understood he was under investigation. He used Claude to generate reports that outlined possible defence strategy and potential legal and factual arguments. He did this on his own rather than at the direction of his lawyer.
The court applied standard privilege rules and found the documents fell outside protection. Judge Jed S. Rakoff explained that discussions between non-lawyers were not privileged and that privilege depended on a confidential relationship with licensed counsel. The court also found the Claude conversations were not confidential because they involved a third party platform and the platform’s privacy policy alerted users that data could be collected and disclosed.
HSF Kramer’s analysis of the ruling explains how client side use of public generative AI tools could weaken privilege claims. The defendant argued that he created the Claude reports to prepare for conversations with his lawyer and later shared them with counsel. The court rejected that argument. Because the defendant used the tool independently and Claude disclaimed providing legal advice, the documents did not become privileged simply because counsel received them later.
The court reached the same result under the work product doctrine. That doctrine protects materials prepared by or at a lawyer’s direction to safeguard legal strategy. Since the defendant created the documents himself, the court found they did not reflect counsel’s mental impressions or strategy.
The defendant’s approach reflected a workflow many teams now follow. People often use generative AI to organize facts, test arguments, or prepare notes before speaking with a lawyer. In practice, AI can feel like a private drafting space. The Heppner ruling shows that this assumption creates risk because privilege depends on lawyer involvement and confidentiality at the time material is created, not later.
This decision shows how everyday AI use can create governance risk. Fintech teams often rely on generative AI to draft internal notes, explore regulatory interpretations, test legal arguments, and shape product thinking.
When teams create prompts and outputs outside privileged workflows, those materials may be treated like ordinary internal documents and may surface in litigation, investigations, or regulatory reviews.
The Heppner outcome also challenges a common assumption that AI drafts become privileged once shared with a lawyer. Timing and intent matter. If teams generate strategy or legal framing before counsel becomes involved, privilege arguments may already weaken. Enterprise AI environments may offer stronger confidentiality controls, but the decision shows privilege still depends on lawyer involvement and clear intent to obtain legal advice.
If generative AI captures early legal and strategic thinking, should fintech governance treat AI prompts with the same care as internal legal memos and executive communications?
Privilege depends on how and when material is created, not what you do with it later.
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