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Corpus matter record

In the Matter of Stephen C.

CBCA · Oct 7, 2025

Direct answer

What happened in this matter?

The claimant admitted to using artificial intelligence to generate legal citations in his submission to the CBCA. When the Board ordered him to produce the text of those regulations, he acknowledged they were AI-generated and withdrew them from his argument. The Board denied his reimbursement claim on the merits.

Why the court cared
The Board found the claimant was not entitled to reimbursement because he moved voluntarily for his own convenience while his PCS orders were paused due to his indecision regarding a deferred resignation offer. The Board noted the claimant's reliance on AI-generated regulations was unfounded.
Why it matters now
This case illustrates the risk of pro se litigants using AI to generate legal citations. It highlights the necessity for adjudicators to verify the existence and applicability of cited authorities when submissions appear unreliable.

Why this matter is tracked

Fabricated: Legal Norm | Claimant cited several inapplicable/unspecified regulations to support reimbursement; when asked to provide the text he admitted the citations were generated by AI and withdrew reliance on them (retaining only JTR 053710). Outcome: Claim denied; reimbursement of moving costs denied.. Claimant cited several inapplicable regulations to support reimbursement. When directed to supply the texts, claimant admitted he had used artificial intelligence to create his submission and withdrew reliance on the cited regulations except for JTR 053710. The Board denied the claim.

Operational lesson

This case illustrates the risk of pro se litigants using AI to generate legal citations. It highlights the necessity for adjudicators to verify the existence and applicability of cited authorities when submissions appear unreliable.

Record details

CourtCBCA
Jurisdictionfederal
CircuitNot recorded
DateOct 7, 2025
UN
AI toolUnidentified
Party typePro Se Litigant
OutcomeClaim denied; reimbursement of moving costs denied.
Known amountNot recorded
Professional sanctionNo
Attribution boundary

What the record establishes about AI use

admitted

Claimant admitted using artificial intelligence to create his submission.

Procedural posture

Administrative claim for reimbursement of moving costs before the Civilian Board of Contract Appeals (CBCA).

Correction behavior

Correction behavior is not separately verified in the current record.

Tracked discrepancy record

1 citation, quotation, or authority issues are recorded in the source dataset.

  1. Fabricated: Legal Norm | Claimant cited several inapplicable/unspecified regulations to support reimbursement; when asked to provide the text he admitted the citations were generated by AI and withdrew reliance on them (retaining only JTR 053710).

Questions this record answers

What happened in In the Matter of Stephen C.?
The claimant admitted to using artificial intelligence to generate legal citations in his submission to the CBCA. When the Board ordered him to produce the text of those regulations, he acknowledged they were AI-generated and withdrew them from his argument. The Board denied his reimbursement claim on the merits.
Why does In the Matter of Stephen C. matter for legal AI risk?
This case illustrates the risk of pro se litigants using AI to generate legal citations. It highlights the necessity for adjudicators to verify the existence and applicability of cited authorities when submissions appear unreliable.
What does the public record establish about In the Matter of Stephen C.?
The record summarizes the outcome described in the linked public source. The recorded document is hosted in the upstream publisher archive. This page is not a substitute for the complete docket, subsequent history, or jurisdiction-specific advice.
Which source supports this In the Matter of Stephen C. summary?
The recorded source is Damien Charlotin case archive. It is classified as publisher document archive; review the linked material and subsequent docket history before relying on this summary.

Related matters

Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.