The District of New Jersey is one of the busiest federal courts in the country, with courthouses in Newark, Trenton, and Camden handling a massive volume of pharmaceutical patent litigation, securities fraud cases, and complex commercial disputes. New Jersey's proximity to New York and Philadelphia puts it at the center of the Northeast legal corridor. Critically, this district is ahead of most of the country on AI governance — Judge Evelyn Padin has implemented one of the most detailed AI disclosure requirements in any federal court.
AI Disclosure Rules in the District of New Jersey
The District of New Jersey does not have a district-wide AI rule, but it has something that matters just as much: specific individual judge orders that go further than most districts' blanket policies. Judge Evelyn Padin requires attorneys to disclose whenever AI is used in court submissions. Her order is notably granular — lawyers must identify the specific AI tool used, describe which parts of the filing were affected by AI assistance, and certify that a human attorney reviewed the content for accuracy.
This is more detailed than many district-wide rules, which typically just require a general certification. Judge Padin's approach reflects the 3rd Circuit's emerging position that transparency about AI use needs to be specific, not boilerplate.
The March 2026 NYC Bar study found that 41.7% of federal courts have no meaningful AI governance. New Jersey is ahead of that curve — not through a blanket rule, but through targeted judicial action that sets the tone for the entire district. Other DNJ judges are watching, and attorneys should expect similar requirements to spread across the bench.
Individual Judge Standing Orders
Judge Evelyn Padin's standing order is the most significant AI governance measure in the District of New Jersey. It requires three things: (1) identification of the specific AI tool used, (2) description of which portions of the filing were AI-assisted, and (3) certification that a human attorney reviewed and verified the content. This goes beyond the binary "AI used / not used" framework adopted by many other courts.
The specificity matters. Under Judge Padin's order, saying "AI was used in preparing this brief" is not sufficient. You need to say something like: "ChatGPT-4 was used to draft the initial outline of the statement of facts (Section II). All legal arguments, citations, and factual representations were independently researched and verified by undersigned counsel." That level of detail is where the practice is heading nationally.
With over 300 federal judges now maintaining individual AI orders, more DNJ judges will likely follow Judge Padin's lead. Attorneys should prepare to meet this standard on every filing, regardless of the assigned judge.
Key AI Cases in DNJ
The District of New Jersey has not yet produced a major AI sanctions case, but its position in the 3rd Circuit — alongside the Eastern District of Pennsylvania, where judges like Senior District Judge Michael Baylson have been national leaders on AI governance — means the appellate framework for AI-related sanctions is developing in real time.
The landmark case every DNJ attorney needs to know is Mata v. Avianca from the Southern District of New York (2023), where $5,000 in sanctions were imposed for fabricated AI-generated citations. The Couvrette case escalated that to $109,700. For a district that handles major pharmaceutical patent cases and securities litigation — where accuracy of legal citations is existential — these precedents carry serious weight.
What Attorneys in DNJ Should Do
**Check if your judge has an AI standing order.** Judge Padin's requirements are specific and detailed. Other DNJ judges may have their own policies. Before every filing, review the assigned judge's individual practices on the court website and any orders posted to PACER.
**Meet the highest standard, not the lowest.** Even if your specific judge has not issued an AI order, prepare your filings as if Judge Padin's requirements apply. Identify the tool, describe the affected sections, and certify human review. This protects you if the case is reassigned or if other judges adopt similar requirements.
**Verify every citation with extra rigor in patent and securities cases.** New Jersey's heavy patent and securities docket means opposing counsel is sophisticated and will check your work. An AI-fabricated citation in a Hatch-Waxman case or an SEC enforcement action would be devastating.
**Separate AI-assisted research from AI-drafted content.** Judge Padin's order requires you to identify which parts of the filing were affected. This means you need to track your AI usage as you work — not try to reconstruct it after the fact. Build this into your drafting process.
**Train your associates and paralegals.** In a high-volume district like DNJ, junior attorneys are often doing the first draft. Make sure everyone on your team understands the district's AI disclosure requirements and your firm's verification protocols.
The Bottom Line
The District of New Jersey is ahead of most federal courts on AI transparency. Judge Padin's detailed disclosure requirements represent where the entire federal judiciary is heading — not just whether AI was used, but which tool, which sections, and what verification was done.
For attorneys practicing in this district, that is actually good news. Clear rules are better than ambiguity. Build your workflows around the DNJ standard now, and you will be compliant everywhere else by default.
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.