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Matter of: G2 Ops, Inc.

U.S. Government Accountability Office · GAO

Other

Verified April 26, 2026

Citation
Matter of: G2 Ops, Inc., U.S. Gov't Accountability Off. (Feb. 13, 2026)
Decided
February 13, 2026

Summary

In a bid protest decision before the U.S. Government Accountability Office, the protester's submissions were found to contain case-law citations that did not correspond to genuine authorities, consistent with output from a generative AI tool used without verification. GAO addressed the conduct in its decision and issued a warning rather than a monetary sanction, reflecting GAO's limited disciplinary toolkit in the bid-protest forum compared with an Article III court. The decision adds to a small but growing line of GAO matters (alongside Matter of LOGMET LLC) in which protest filings were found to contain hallucinated authorities.

AI tool:
Unspecified generative AI
This case summary is informational only. Verify the underlying opinion or order against the primary source before relying on it in any filing or client matter.

What sanction did the court impose?

Warning issued in the GAO decision regarding the use of unverified, AI-generated case citations in protest submissions. No monetary sanction was imposed; GAO does not have Rule 11 sanction authority comparable to a federal district court.

Why does Matter of: G2 Ops, Inc. matter for law firms using AI?

G2 Ops sits in an unusual procedural posture for a managing partner to track: GAO bid protests are decided by attorneys in GAO’s Office of General Counsel, not by Article III judges, and GAO lacks the Rule 11 machinery that has produced the headline sanctions in district-court hallucination cases. The practical lesson is that even forums without monetary sanction authority will memorialize fabricated AI citations on the public record, which is itself a reputational and procurement-eligibility risk for any firm representing federal contractors.

Sources

Further reading

Source PDF is a Westlaw printout mirrored from the Damien Charlotin hallucination database. We are working to add the underlying court docket (PACER, CourtListener, or court website) as a second source.

Unverified claims:
  • GAO B-number not extracted from the PDF (binary content was not text-decodable during verification, and GAO's website search returned 403). The Charlotin-hosted PDF at the cited S3 URL is the verbatim decision but its B-docket and the protester's representative's name were not retrievable in this session.
  • Specific AI tool not identified in available metadata; Charlotin classifies the tool as "implied," meaning the decision describes hallucinated citations consistent with generative AI but does not name a product.
  • Exact text of GAO's warning language could not be quoted because the PDF text layer did not extract cleanly.