Judge Jesse Furman isn't just another SDNY judge with an AI opinion—he's the judge writing the rules. As chair of the U.S. Judicial Conference's Advisory Committee on Evidence Rules, Furman is leading the effort to create the first nationwide federal rule governing AI-generated evidence. That means his courtroom isn't just subject to AI policy—it's where AI policy gets shaped.

If you're filing before Judge Furman in the Southern District of New York, you're appearing before someone who understands generative AI at a level most judges don't. He's studied the hallucination problem, the privilege implications, and the evidentiary gaps. Don't walk in thinking a boilerplate AI certification will impress him. He knows the difference between lawyers who actually understand the tools and those checking a box.


Judge Furman's Role in Federal AI Evidence Rules

Judge Furman chairs the Advisory Committee on Evidence Rules for the U.S. Judicial Conference—the body that drafts the Federal Rules of Evidence. In 2025-2026, his committee began developing a proposed rule designed to ensure that evidence produced by generative AI technology meets the same reliability standards as evidence from a human expert witness. This isn't a standing order for one courtroom. It's a nationwide rule that would apply to every federal court in the country. The proposal addresses authentication, reliability testing, and foundation requirements for AI-generated exhibits, reports, and demonstratives. If adopted, it would be the first federal evidence rule specifically targeting AI.

What Judge Furman Expects in His Own Courtroom

While the SDNY hasn't adopted a district-wide AI disclosure mandate, Judge Furman's individual practices reflect his deep familiarity with the technology. He expects attorneys to be candid about AI use, to verify every citation through traditional research tools, and to understand the limitations of the tools they're using. His focus goes beyond disclosure—he's interested in whether AI outputs meet evidentiary standards. That means if you're submitting AI-assisted analysis, expert reports that relied on AI tools, or exhibits generated by AI, you should be prepared to explain the methodology, the model used, and the verification steps taken. Furman treats AI like any other tool: it's the attorney's responsibility to ensure the output is reliable.

AI Privilege Rulings Coming Out of SDNY

The SDNY has become the testing ground for AI privilege questions, and Judge Furman's committee work directly informs how these issues evolve. In February 2026, SDNY Judge Jed Rakoff ruled that a defendant's use of Anthropic's Claude to develop a legal defense strategy didn't create attorney-client privilege over those communications. The reasoning: the AI isn't a lawyer, so communications with it aren't privileged. This has massive implications for anyone filing in SDNY. If your client used AI to strategize about their case, those conversations may be discoverable. Judge Furman's evidence committee is watching these rulings closely as it shapes the new federal rule.

How to Prepare Filings for Judge Furman's Courtroom

Step 1: Verify every citation through Westlaw, Lexis, or Bloomberg Law—no exceptions. Step 2: If you used generative AI at any drafting stage, be prepared to disclose it voluntarily even without a formal standing order requiring it. Judge Furman values candor. Step 3: For any AI-generated evidence or exhibits, prepare a foundation that addresses authentication, methodology, and reliability. Step 4: If your case involves AI privilege questions, research the Rakoff precedent and be ready to argue why your client's AI communications should or shouldn't be discoverable. Step 5: Monitor the Advisory Committee's rulemaking process—proposed rules often signal how a committee chair will handle similar issues in their own courtroom.

Why Filing Before Judge Furman Is Different

Most federal judges who've addressed AI have done so reactively—issuing standing orders after the Mata v. Avianca debacle scared them into action. Judge Furman is operating at a different level. He's proactively building the framework that will govern AI in federal courts for the next decade. That means his expectations are higher, his understanding is deeper, and his tolerance for sloppy AI use is lower. When you appear before him, you're not just complying with local rules—you're being evaluated by the person who's defining what responsible AI use in litigation looks like. Treat every filing accordingly.

The Bottom Line: Judge Furman is the most important federal judge on AI evidence policy in the country. If you're filing before him, go beyond basic compliance—demonstrate that you understand how AI tools work, verify everything independently, and be prepared to discuss AI methodology at a level most attorneys can't.

AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.