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The Machine Isn’t the Interlocutor: eDiscovery Trends

Machine Isn't the Interlocutor

A new publication from The Sedona Conference Journal says: “The Machine Isn’t the Interlocutor”. What does that mean? Let’s find out.

Yesterday, The Sedona Conference Journal announced a critical analysis of the recent decisions in U.S. v. Heppner and Warner v. Gilbarco, two very different opinions on whether a party’s use of GenAI tools forecloses any claims of attorney-client communication privilege or work product protection.

The publication is titled The Machine Isn’t the Interlocutor: Why United States v. Heppner Gets Privilege Wrong, and it’s available here. The article is co-authored by Bridget McCormack, who is the President and CEO of the American Arbitration Association and the former Chief Justice of the Michigan Supreme Court and Shlomo Klapper, the founder and the CEO of Learned Hand, an AI platform designed for judges and courts.

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As the title states, they liked one decision more than the other. Among their issues they had with the Heppner case:

The Anthropomorphization of AI

The court treated Claude as an “interlocutor”: a third party with independent agency. In reality, Claude is a large language model that predicts statistically likely tokens.

Misapplication of Waiver vs. Independent Privilege

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The Heppner court asked whether AI interactions independently satisfy the elements of privilege. However, the correct inquiry is whether interacting with a tool about already privileged information constitutes a waiver.

Conflict with Cloud Computing Norms

The court’s focus on Anthropic’s Terms of Service (ToS) as a breaker of confidentiality contradicts existing ethics and legal standards:

Broader Legal Consequences

The Heppner precedent creates several systemic risks:

The Proposed Functional Test

Instead of asking if a tool is a “third party,” courts should ask if the technology interaction creates specific risks that the third-party disclosure rule was designed to address:

The authors conclude this:

Heppner answers a new application of an old question. But its misstep at the outset in anthropomorphizing a computational tool causes it to see a third-party disclosure where there is none. Because it sees a communication, it frames the case as an inquiry into whether the AI interactions independently satisfy the elements of privilege. Using computational infrastructure has never been characterized as a communication, and therefore never waived the attorney-client privilege. Large language models can do more than previous technologies, but they are still technologies. Privilege in the inputs carries into the outputs.”

The 20-page article is available here.

So, what do you think? Do you agree that the machine isn’t the interlocutor? Please share any comments you might have or if you’d like to know more about a particular topic.

Image created using DALL-E 3, using the term “a soup server with dark hair and a dark mustache selling soup to a well dressed robot lawyer with a sign behind the server reading ‘Privilege for You!’”.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by my employer, my partners or my clients. eDiscovery Today is made available solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscovery Today should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

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