AI, Privilege, and the Perils of Digital Disclosure

A Federal Court Signals the First Major Legal Boundary for Consumer AI Tools

By Michael Phillips | People’s Law Review

In a decision already sending shockwaves through the legal profession, a federal judge in the Southern District of New York has issued what many observers are calling the first major ruling on artificial intelligence and attorney-client privilege.

In United States v. Heppner, U.S. District Judge Jed S. Rakoff ruled that documents generated using the consumer version of the AI tool Claude were not protected by attorney-client privilege or the work-product doctrine.

The case, involving financial executive Bradley Heppner, raises a fundamental question confronting courts, lawyers, and litigants nationwide:

What happens when confidential legal strategy is shared with artificial intelligence?

Judge Rakoff’s answer was direct and consequential: the privilege may be lost.

The ruling marks a pivotal moment in the emerging intersection of law, technology, and confidentiality—one that could reshape how lawyers and clients interact with AI tools.


The Case Behind the Decision

The dispute arose in a federal criminal prosecution against Bradley Heppner, the former CEO of financial services firm Beneficient.

Federal prosecutors allege Heppner orchestrated a scheme that defrauded investors of approximately $300 million, charging him with securities fraud and wire fraud.

As the investigation unfolded, several critical events occurred.

After receiving a grand jury subpoena and retaining legal counsel—but before his arrest in November 2025—Heppner began using the consumer version of Claude, the AI assistant developed by Anthropic.

According to court filings:

  • Heppner entered information about his lawyers’ advice into the AI system.
  • He asked the system to generate legal analysis and strategic outlines.
  • Claude produced approximately 31 documents, including:
    • outlines of defense strategies
    • summaries of anticipated charges
    • legal arguments
    • discussion points for meetings with counsel

Heppner later shared the AI-generated materials with his attorneys as part of his defense preparation.

But during the execution of a search warrant at his home, FBI agents seized electronic devices containing those AI-generated documents.

Prosecutors soon sought access to them.

What followed became the center of a legal battle over the scope of privilege in the age of artificial intelligence.


The Government’s Argument

Federal prosecutors argued that the documents were not privileged for a straightforward reason:

Heppner had shared the information with a third party—an AI service operated by a private company.

The government’s position rested on two key principles of privilege law.

First, attorney-client privilege protects confidential communications between a client and a lawyer made for the purpose of obtaining legal advice.

Second, the privilege can be waived if the communication is disclosed to third parties.

Because the information had been transmitted to an AI system operated by an external company, prosecutors argued the communications were no longer confidential.

They also challenged claims of work-product protection, which normally shields materials prepared in anticipation of litigation.

According to the government, the documents were created independently by the defendant, not under the direction or supervision of counsel.

The defense disagreed.


The Defense’s Position

Heppner’s lawyers contended that the documents should still be protected.

Their argument relied on two theories.

First, they asserted that the materials were extensions of privileged communications, because the defendant was using the AI tool to organize and analyze legal advice provided by his attorneys.

Second, they argued that the documents qualified as work product, since they were created in preparation for anticipated litigation.

From the defense perspective, the AI system functioned more like a digital research assistant or drafting tool, helping the client prepare for conversations with counsel.

But Judge Rakoff ultimately rejected those arguments.


Judge Rakoff’s Ruling

In a bench ruling issued on February 10, 2026 and later explained in a written opinion, Judge Rakoff held that the documents were not protected by either privilege doctrine.

His reasoning turned on several critical points.

1. AI Is Not a Lawyer

The court first emphasized that attorney-client privilege applies only to communications between a client and a lawyer.

Claude, the court noted, is not a legal professional and does not function as an attorney.

Because no attorney-client relationship existed between Heppner and the AI system, the communications themselves could not be privileged.

2. Disclosure to AI Is Disclosure to a Third Party

The ruling also focused on confidentiality.

Judge Rakoff pointed to the publicly available terms and privacy policies governing Claude’s consumer platform.

Those policies state that the company:

  • collects user inputs and outputs
  • may use them to improve AI models
  • may disclose data to third parties, including government authorities under certain conditions

Because users agree to these terms when using the service, the court concluded that any expectation of confidentiality is unreasonable.

In legal terms, sharing information with such a platform constitutes disclosure to a third party.

And once privileged information is shared with a third party, the privilege is generally waived.

3. Privilege Cannot Be Restored Later

The court also rejected the defense argument that sharing the AI-generated materials with lawyers afterward restored protection.

Judge Rakoff wrote that subsequent disclosure to counsel does not retroactively cloak earlier communications with privilege.

In other words:

Once the information was shared with the AI system, the privilege—if it existed at all—was already lost.


Work-Product Protection Also Failed

The court also examined the defense’s claim that the materials were protected under the work-product doctrine, which shields documents prepared in anticipation of litigation.

But here again, the court sided with the government.

Judge Rakoff noted that work-product protection typically applies when materials are prepared by or at the direction of attorneys.

In this case:

  • Heppner used the AI tool independently.
  • His attorneys were not involved in directing or supervising the process.
  • The documents were generated through a consumer software platform, not through counsel’s litigation strategy.

Because the materials were not created under the direction of lawyers, the court ruled that they did not qualify as protected work product.

The result: the documents must be produced to the government.


Why the Decision Matters

The implications of the ruling extend far beyond this single case.

Lawyers across the country are now confronting a reality that many technology experts had warned about:

Using consumer AI tools for legal matters can create serious privilege risks.

Several consequences immediately emerge from the ruling.

1. Clients May Waive Privilege Without Realizing It

Many individuals now use AI tools casually to:

  • summarize documents
  • draft arguments
  • organize legal ideas

But if those inputs contain confidential legal information, the act of submitting them to a public AI service may waive privilege.

This could expose sensitive information to discovery.

2. Lawyers Must Educate Clients About AI Risks

Legal ethics rules already require lawyers to protect confidential information.

In the AI era, that duty may now include warning clients not to share legal advice with public AI platforms.

Law firms are increasingly adopting policies restricting or regulating AI use for precisely this reason.

3. Enterprise AI May Become the Legal Standard

The decision does not necessarily prohibit AI use in legal practice.

Instead, it highlights the difference between consumer AI tools and secure enterprise systems.

Many law firms are already transitioning to private AI platforms that:

  • do not train on user data
  • guarantee confidentiality
  • operate within secure internal networks

Such systems may still allow lawyers to benefit from AI while preserving privilege.


The Broader Legal Question: AI as a Third Party

At its core, the Heppner decision reinforces a longstanding principle of privilege law:

Confidential communications must remain confidential.

When information is shared with outside entities, the law generally treats those entities as third parties, unless they function as agents of the lawyer.

Courts have historically applied this rule to:

  • accountants
  • consultants
  • interpreters
  • investigators

In certain circumstances, communications with such professionals can remain privileged if they assist the attorney in providing legal advice.

But Judge Rakoff concluded that Claude, as a consumer AI product, does not qualify as such an agent.

That distinction may prove crucial in future litigation involving AI tools.


A First Decision—But Not the Last

Legal scholars describe the ruling as a “question of first impression”—a situation where courts confront an issue not previously decided.

Artificial intelligence is forcing courts to revisit doctrines developed long before modern digital tools existed.

Future cases may explore additional questions, including:

  • whether lawyer-directed AI systems could qualify as agents of counsel
  • whether enterprise AI services can preserve privilege
  • how courts should treat AI-assisted document drafting by attorneys themselves

For now, the Heppner ruling provides one of the first judicial roadmaps.

And its message is clear.


The Warning to the Legal Profession

Artificial intelligence is rapidly transforming the practice of law.

But the foundational principles of privilege have not changed.

As Judge Rakoff’s ruling demonstrates:

Technology does not override the requirement of confidentiality.

If legal advice is shared with systems that store, analyze, or transmit information outside the attorney-client relationship, the law may treat that disclosure the same way it treats sharing information with any other outsider.

For lawyers and clients navigating the new AI landscape, the lesson may be simple but critical:

Artificial intelligence can assist legal thinking—but it cannot replace the confidentiality of the attorney-client relationship.

And when used carelessly, it may do the opposite.

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