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Corpus matter record

Mattox v. Product Innovation Research

E.D. Oklahoma · Oct 22, 2025

Direct answer

What happened in this matter?

The court struck eleven pleadings, issued public reprimands, and imposed $28,495 in monetary sanctions against four attorneys for submitting fabricated and erroneous case law generated by ChatGPT. The court further mandated that all future filings be verified by human counsel and certified for compliance with the court's AI disclosure guidelines.

Why the court cared
The court reasoned that Rule 11 requires attorneys to conduct a reasonable, human-based verification of every authority before filing. It determined that the attorneys acted with reckless disregard for the truth by failing to verify citations across eleven pleadings. The court applied a three-factor framework—verification, candor, and accountability—to assess the misconduct, concluding that while the attorneys' contrition warranted mitigation of the initial sanction amounts, the severity of the repeated filings necessitated public reprimands, monetary penalties, and remedial filing requirements to restore the integrity of the record.
Why it matters now
Ban ChatGPT for legal research firm-wide; 28 bad cites across 11 pleadings cost $28K and public reprimands.

Why this matter is tracked

Fabricated: Case Law | Court found no case under this citation; similar Tenth Circuit decision exists but does not contain the quoted law. Outcome: Pleadings struck; public reprimands; monetary sanctions; remedial filing and certification requirements. The Court found 28 false or misleading citations across 11 pleadings (14 fabricated, 14 erroneous/misquoted). Mr. Howie admitted use of ChatGPT and failure to verify citations. The Court applied Rule 11(b) and its AI framework (verification, candor/correction, accountability) and imposed sanctions and restitution. Fines of 3,000, 2,000, and 1,000 USD on individual attorneys, plus opposing party's costs and fees,

Operational lesson

Ban ChatGPT for legal research firm-wide; 28 bad cites across 11 pleadings cost $28K and public reprimands.

Record details

OklahomaSingle-state evidence scope
Explore OKOpen its source-linked jurisdiction page and related matters.
CourtE.D. Oklahoma
Jurisdictionfederal
Circuit10th Circuit
DateOct 22, 2025
CH
AI toolChatGPT
Party typeLawyer
OutcomePleadings struck; public reprimands; monetary sanctions totaling $28,495; remedial filing and certification requirements.
Known amount$28,495
Professional sanctionPublic reprimands issued to four attorneys; requirement to file verified amended pleadings; mandatory compliance with AI disclosure and certification guidelines.
Attribution boundary

What the record establishes about AI use

admitted

Counsel admitted to using ChatGPT to draft filings.

Procedural posture

Order on sanctions following a sua sponte review of pleadings and two show-cause hearings regarding the submission of fabricated legal authorities.

Correction behavior

Correction behavior is not separately verified in the current record.

Tracked discrepancy record

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

  1. Fabricated: Case Law | Court found no case under this citation; similar Tenth Circuit decision exists but does not contain the quoted law.
  2. Fabricated: Case Law | Citation combined/ conflated unrelated authorities; court found no case at that citation and similar decisions do not support the quoted law.
  3. Fabricated: Case Law | Court found no case under the cited name and citation; citation appears fabricated/mismatched.
  4. Fabricated: Case Law | No Tenth Circuit decision exists at that citation; the docketed citation corresponds to an unrelated out-of-circuit case.
  5. Fabricated: Case Law | Court found no case under that citation; similar named district decision exists but does not support plaintiffs' asserted rule.
  6. Fabricated: Case Law | Court located no case under this citation; authority appears fabricated.
  7. Misrepresented: Case Law | Plaintiffs cited the wrong year/citation for the decision; court identified correct authority.
  8. False Quotes: Case Law | Court determined the specific language plaintiffs attributed to the case does not appear in the opinion cited.
Show 4 additional discrepancies
  1. False Quotes: Case Law | Court found the law plaintiffs claimed derived from this Supreme Court opinion was not present in the opinion as quoted.
  2. Misrepresented: Case Law | Court concluded the decision does not hold the proposition plaintiffs attributed to it.
  3. Fabricated: Case Law | Court found no decision at this federal reporter/citation; cited authority is incorrect or nonexistent.
  4. Misrepresented: Case Law | Plaintiffs cited an incorrect citation; the court identified the correct citation and that the cited version was erroneous.

Questions this record answers

What happened in Mattox v. Product Innovation Research?
The court struck eleven pleadings, issued public reprimands, and imposed $28,495 in monetary sanctions against four attorneys for submitting fabricated and erroneous case law generated by ChatGPT. The court further mandated that all future filings be verified by human counsel and certified for compliance with the court's AI disclosure guidelines.
Why does Mattox v. Product Innovation Research matter for legal AI risk?
Ban ChatGPT for legal research firm-wide; 28 bad cites across 11 pleadings cost $28K and public reprimands.
What does the public record establish about Mattox v. Product Innovation Research?
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 Mattox v. Product Innovation Research 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.