STATE EVIDENCE REPORT

District of Columbia

A print-ready review packet of the issues, recorded responses, participant context, and source-linked matters currently associated with this profile.

Matched records19

Source linked100%

Known USD amount total$14,151

Recorded rangeAug 30, 2024 – Sep 22, 2026

EVIDENCE-BASED ANSWER

What patterns appear in the public records associated with District of Columbia?

AI Vortex currently links 19 source-linked public matters associated with District of Columbia. The most frequently recorded issue signals are Fabricated authorities (16), Fabricated or altered quotations (15) and Misrepresented authority (8). Recorded responses and outcomes include Warning or admonishment (7), No adjudicated consequence recorded (6) and Monetary sanction (4). Categories can overlap within the same matter, and these counts describe this public corpus rather than the overall behavior or sanction rate of the state.

Every distribution below links to the exact matching records. This report does not convert corpus counts into a behavioral prediction.

OBSERVED ISSUE MIX

What problems appear in these records?

Fabricated authorities16 · 84.2%Fabricated or altered quotations15 · 78.9%Misrepresented authority8 · 42.1%

Issue categories can overlap within one matter.

RECORDED RESPONSES

How did courts or authorities respond?

Warning or admonishment7 · 36.8%No adjudicated consequence recorded6 · 31.6%Monetary sanction4 · 21.1%Bar or professional referral2 · 10.5%Dismissal or adverse disposition2 · 10.5%Filing or pleading struck2 · 10.5%

A recorded response does not imply that every matter ended in a sanction.

PARTICIPANT CONTEXT

Who appears in these matters?

Lawyer12 · 63.2%Pro Se Litigant7 · 36.8%

MATTER CONTEXT

Which practice areas are represented?

Employment5 · 26.3%Civil Rights4 · 21.1%Contract4 · 21.1%Immigration2 · 10.5%Bankruptcy1 · 5.3%

UNDERLYING EVIDENCE

Selected public records behind this report

Showing 12 of 19

Sep 22, 2026Garner v. Transit Employees Federal Credit UnionD. D.C.No tool named in sourceSource

Jul 23, 2026Catarina Almeida Porfirio v. Homeland Security, et al.D. D.C.No tool named in sourceSource

Jul 10, 2026In re Lisa CatoD. D.C. (Bankruptcy)AI (implied, unspecified)Source

Mar 31, 2026Nguedi v. General Dynamics Information TechnologyD. DCUnidentifiedSource

Mar 31, 2026Zavadovsky v. Republic of Austria, et al.D. DCAI (implied, unspecified)Source

Mar 6, 2026Andre Lamont Goddard, Jr. v. City University of SeattleD. DCAI (implied, unspecified)Source

Feb 10, 2026Tabitha Alberti v. District of ColumbiaD. DCUnidentifiedSource

Jan 16, 2026Osborne Properties Limited Partnership v. Fartun Abdullahi Mohamed et al.DC MinnesottaNo tool named in sourceSource

Jan 16, 2026X. v. CanadaD. DCNo tool named in sourceSource

Dec 18, 2025Wanyu Zhang v. National Public Radio, Inc.D. DCGoogle search engine AI featuresSource

Nov 19, 2025Ekeocha v. U.S. Department of StateD. DCAI (implied, unspecified)Source

Oct 22, 2025Alexandria Jones v. DC Office of Unified CommunicationsD. DCAI (implied, unspecified)Source

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EVIDENCE BOUNDARY

Scope, traceability, and limits

This report groups existing structured public-record fields. For judges, the counts describe matters in which that person is recorded as a decision-maker; they do not establish general practices, sanction rates, or future behavior.

The complete docket, later history, local rules, standing orders, and controlling primary materials remain authoritative.

CONNECTED INTELLIGENCE

Related corpus profiles

United States19 shared records Fake Citations16 shared records Fabricated Quotes15 shared records D. DC15 shared records Misrepresented Authority8 shared records Warning7 shared records

Cite this page

Bluebook: AI Vortex, District of Columbia Evidence Report, Legal AI Risk Tracker (updated Oct. 27, 2026), https://www.aivortex.io/legal-ai-risk/states/dc/report (last visited Oct. 27, 2026).
APA: AI Vortex. (2026, October 27). District of Columbia Evidence Report. Legal AI Risk Tracker. Retrieved October 27, 2026, from https://www.aivortex.io/legal-ai-risk/states/dc/report
URL: https://www.aivortex.io/legal-ai-risk/states/dc/report (accessed 2026-10-27)

Cites the AI Vortex page, not the underlying decision; cite the court's own document for the holding.