AI Disclosure Rules in the District of Maryland

The District of Maryland sits at the crossroads of federal power, with courthouses in Baltimore and Greenbelt handling everything from government contractor disputes to cybersecurity litigation to complex regulatory challenges. Its proximity to Washington, D.C. means the docket is heavy with cases involving federal agencies, defense contractors, and the kinds of sophisticated parties who are already using AI in their legal workflows. For attorneys practicing here, the AI disclosure question is not theoretical. It is practical and urgent.

AI Disclosure Rules in the District of Maryland

The District of Maryland has not adopted a district-wide AI disclosure rule as of early 2026. There is no local rule amendment or administrative order requiring attorneys to certify whether generative AI was used in preparing filings. This places Maryland among the 41.7% of federal courts that the March 2026 NYC Bar Association study identified as having no meaningful AI governance framework.

The 4th Circuit, which covers Maryland along with Virginia, West Virginia, and the Carolinas, has not issued circuit-level AI guidance either. However, the Western District of North Carolina, also in the 4th Circuit, has adopted a district-wide standing order requiring AI certification alongside every brief. That creates an interesting dynamic: attorneys who practice across 4th Circuit districts may encounter mandatory disclosure in Charlotte but silence in Baltimore.

The absence of a formal rule does not mean Maryland judges are unaware of the issue. Given the district's heavy caseload of government litigation and the technical sophistication of many parties, the court is likely watching how AI adoption plays out before formalizing requirements. But Rule 11 applies everywhere, and Maryland's bench is known for holding attorneys to high standards.

Individual Judge Standing Orders

No judges in the District of Maryland have issued public standing orders specifically addressing generative AI in court filings. But with over 300 federal judges nationally now maintaining individual AI orders, the trend is accelerating.

Maryland's bench handles cases involving agencies like the NSA (headquartered at Fort Meade), cybersecurity firms, and defense contractors, meaning the judges are often more tech-literate than average. When AI standing orders arrive in this district, they are likely to be detailed and substantive rather than boilerplate. Attorneys should not wait for the formal order to start building responsible AI practices.

Key AI Cases in DMD

The District of Maryland has not yet produced a high-profile AI sanctions case. But the proximity to D.C. and the volume of complex litigation make it a likely candidate for early AI-related disputes.

The foundational case remains Mata v. Avianca out of SDNY, where fabricated ChatGPT citations led to sanctions and a permanent stain on an attorney's career. For 4th Circuit practitioners specifically, the Western District of North Carolina's proactive adoption of AI certification requirements signals that the circuit is taking the issue seriously. The Couvrette sanctions ($109,700 in penalties) further demonstrate that courts nationwide are willing to impose significant financial consequences for AI-related misconduct. Maryland attorneys handling high-value government contract or cybersecurity cases should be especially cautious, as the stakes of an AI error in those contexts can be enormous.

What Attorneys in DMD Should Do

**Check PACER and the court website for judge-specific requirements.** Maryland judges may add AI provisions to their individual practices at any time. Before filing, confirm whether your assigned judge has updated their standing orders or issued case-specific AI directives.

**Disclose AI use proactively, especially in government litigation.** If you are litigating against a federal agency or a sophisticated corporate defendant, opposing counsel will be looking for AI-generated weaknesses in your filings. A preemptive disclosure footnote signals confidence and transparency.

**Verify every citation through Westlaw or Lexis.** This is baseline competence, but it matters more in a district where judges routinely handle complex regulatory and constitutional questions. AI tools are especially prone to hallucinating in niche legal areas like government contracts and FOIA litigation.

**Use enterprise-grade legal AI, not consumer chatbots.** The distinction between a legal research platform with built-in citation verification and a free consumer tool like ChatGPT is critical. Maryland judges will not be sympathetic to attorneys who cut corners with consumer AI on high-stakes federal cases.

**Build an internal AI use policy now.** Document which tools your firm uses, what verification steps are required, and who is responsible for final review. When Maryland adopts formal rules, you want to be ahead of the curve, not scrambling to comply.

The Bottom Line

Maryland's silence on AI rules is not going to last forever. The district's docket is too sophisticated, its bench too experienced, and its proximity to D.C. too significant for the court to remain without formal AI governance much longer. The Western District of North Carolina has already set a 4th Circuit precedent with mandatory certification.

Attorneys practicing in Baltimore and Greenbelt should treat AI disclosure as an expected professional standard, not a future possibility. The firms that build responsible AI workflows now will be the ones winning trust with judges and clients when the rules formalize.