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The D.C. Circuit occupies a unique position in the AI disclosure landscape. It's the circuit where federal regulatory power lives — where DOJ litigates, where agencies defend their rulemaking, and where the practitioners are often government attorneys subject to their own AI use policies. The AI disclosure question here isn't just about court rules. It's about the intersection of government AI policy and courtroom practice.

The D.C. Circuit hasn't adopted a formal AI disclosure mandate, but the practical environment is shaped by DOJ and agency-specific AI policies that govern how government lawyers use AI tools. For private practitioners who regularly face government opponents, understanding these policies is as important as knowing the local rules.

D.C. Circuit's Unique Regulatory Position

The D.C. Circuit Court of Appeals handles a disproportionate share of administrative law, regulatory challenges, and government enforcement cases. This gives it an outsized role in shaping how AI intersects with federal government legal practice. The circuit hasn't adopted formal AI disclosure requirements, but its judges are keenly aware of AI issues — many of them previously served in government roles where AI policy was a live question. The circuit's judicial culture favors precision and thorough briefing, which creates implicit expectations around AI verification even without formal mandates.

DOJ AI Use Policies and Their Impact

The Department of Justice has developed internal AI use policies that affect how its attorneys — who appear in D.C. Circuit courts more than anywhere else — handle AI tools. DOJ policy requires disclosure of AI-assisted work product in certain contexts and mandates human review of AI-generated content before submission. These policies don't directly bind private practitioners, but they create a de facto standard in D.C. Circuit litigation. When your government opponent is disclosing AI use, failing to do so yourself creates an asymmetry that judges notice. Managing partners at firms with significant government-facing practices should align their AI policies with DOJ standards, even though they're not legally required to.

Federal Agency-Specific AI Frameworks

Beyond DOJ, individual federal agencies have developed their own AI use policies that affect litigation in the D.C. Circuit. The FTC, SEC, EPA, and other agencies with major regulatory litigation portfolios have adopted frameworks governing how their legal teams can use AI for research, brief drafting, and case analysis. These frameworks vary in stringency, but they universally require human oversight of AI output. For practitioners challenging agency actions in the D.C. Circuit, understanding the opposing agency's AI policy can be strategically valuable — if you can demonstrate that the agency's own AI-generated analysis doesn't meet its internal standards, that's a powerful argument.

The D.C. District Court and Local Practice

The U.S. District Court for the District of Columbia handles high-profile government litigation, national security cases, and complex regulatory disputes. While the court hasn't adopted a district-wide AI disclosure policy, several judges have addressed AI use in individual standing orders. The court's local rules committee has discussed AI but hasn't proposed amendments. The practical expectations in D.C. federal court are shaped by the caliber of the practitioners — this is a bar where former Supreme Court clerks and senior government attorneys set the standard. AI disclosure is expected as a matter of professional norms even where it isn't formally required.

Compliance Strategy for D.C. Circuit Practitioners

Here's the approach for this unique circuit: First, know your opponent's AI policy — if you're facing DOJ or a federal agency, understand their internal AI standards because courts will expect parity. Second, disclose AI use voluntarily in all D.C. Circuit filings — the professional culture here demands transparency. Third, for administrative law cases, be prepared to address how AI was used in both your analysis and the agency's underlying decision-making — AI in administrative proceedings is an emerging issue. Fourth, structure your AI workflows to withstand the high level of scrutiny typical in D.C. litigation — sloppy AI use that might go unnoticed in a less sophisticated forum will be caught here. Fifth, for national security and FISA-adjacent matters, be especially cautious about AI tools that transmit data to cloud services — the security implications add another layer of compliance.

The Bottom Line: The D.C. Circuit doesn't have a formal AI disclosure mandate, but DOJ and agency-specific AI policies create a de facto standard that private practitioners must match. This is a circuit where the government's AI practices shape expectations for everyone. If you're litigating against the federal government, your AI compliance needs to be at least as rigorous as theirs.