Gamble v. Gamble (R&G caption: Smith v. Gamble)
Ohio Court of Appeals, Twelfth Appellate District · Ohio Ct. App. (12th Dist.) · Ohio bar guidance
Conduct
Appellee in domestic-relations appeal filed brief with phantom cases and inaccurate citations; court inferred generative AI involvement.
Consequence
Court granted sanctions under inherent authority; sanction amount referred to magistrate; merits affirmed in part, reversed in part.
Lesson
Ohio appellate courts will sanction phantom-citation conduct under inherent authority, separate from any Rule 11 motion practice.
Verified May 7, 2026
- Citation
- Gamble v. Gamble, 2025-Ohio-2381, No. CA2024-09-069 (Ohio Ct. App. 12th Dist. July 7, 2025) (Piper, J.)
- Decided
- July 7, 2025
Summary
This is a domestic-relations appeal styled in the official reporter as Gamble v. Gamble, 2025-Ohio-2381 (12th Dist.), Case No. CA2024-09-069, decided July 7, 2025 by Judge Robin N. Piper. The appellant is Karen A. Gamble, now using the surname Smith (Karen A. Gamble nka Smith); appellee is Gary C. Gamble III. The Ropes and Gray AI Court Order Tracker captions this matter as "Smith v. Gamble," reflecting the appellant's current surname. On the appeal, the appellee filed a brief that the court found contained "phantom cases and inappropriate, inaccurate citations," including "nonexistent cases" supporting principles of law for which appellee was advocating. Appellant moved to strike the brief and for sanctions, citing the time and expense she incurred discovering the fabrications and bringing the matter to the court's attention. The Twelfth District denied the motion to strike but granted the motion for sanctions, exercising its inherent authority to sanction conduct that thwarts the administration of justice and abuses the judicial process. The matter was referred to the magistrate to determine the amount of sanctions, with the underlying merits ruling affirmed in part, reversed in part, and remanded; appellate costs split 50/50.
- AI tool:
- Unidentified generative AI (the court referenced a federal case involving 'a brief generated by artificial intelligence' as comparable; the appellee's specific tool was not identified on the record)
What sanction did the court impose?
Motion to strike denied; motion for sanctions granted under the court's inherent authority. Sanction amount referred to the magistrate to determine. Underlying merits ruling affirmed in part, reversed in part, and remanded; costs split 50/50.
Why does Gamble v. Gamble (R&G caption: Smith v. Gamble) matter for law firms using AI?
Gamble v. Gamble (the case the R&G tracker indexes as “Smith v. Gamble,” using the appellant’s current surname) is the most consequential Ohio appellate decision on AI-fabricated citations on the visible record. The Twelfth District granted sanctions against the appellee for phantom cases and inappropriate, inaccurate citations in his brief, exercising the court’s inherent authority to sanction conduct that thwarts the administration of justice. The doctrinal hook matters: the court did not rely on a specific procedural rule (no equivalent of federal Rule 11 in this posture), so future Ohio appellate panels can apply the Gamble framework to other AI-citation conduct without needing a specific rule predicate.
The procedural feature most worth carrying forward is the cost-shifting framing. Appellant moved for sanctions citing the time and expense she incurred discovering the fabrications and bringing the matter to the court’s attention. The court treated those costs as a recoverable element of the sanction, referring the matter to the magistrate for determination. For Ohio firms opposing AI-fabricated briefs in any forum, document the time spent verifying citations and the resources used to surface the fabrications. That contemporaneous record is what the magistrate will use to set the sanction amount.
We have flagged the caption discrepancy in unverified_claims: the R&G tracker indexes this case as “Smith v. Gamble” because the appellant now uses the Smith surname, but the official reporter caption is Gamble v. Gamble, 2025-Ohio-2381. This is a caption choice rather than a substantive error in the R&G entry; we adopt the official reporter caption in our citation field.
Implications for your firm
Operational steps a firm reading this case may wish to consider documenting. Strategic and rule-application calls belong to your firm's attorneys.
- Track this case as the leading Ohio appellate precedent on AI-fabricated citations: the court relied on inherent authority rather than a specific procedural rule, which is a flexible doctrinal hook for future cases.
- When opposing a brief that contains phantom citations, document the time and expense of identifying the fabrications; the Twelfth District treated those costs as a recoverable element of the sanction.
- Domestic-relations matters are a recurring vehicle for AI-fabricated authority in Ohio appellate practice; firms with family-law dockets should fold an AI-citation check into their appellee-brief review.
- If counsel (rather than a pro se appellee) filed the offending brief, the bar-discipline implications track Ohio Rules of Professional Conduct 3.3 and 1.1 (candor and competence).
Sources
Primary sources
Further reading
- The R&G tracker captions this case 'Smith v. Gamble,' which reflects the appellant's current surname. The official reporter caption is Gamble v. Gamble, 2025-Ohio-2381. The discrepancy is a caption choice rather than a substantive error.
- The specific AI tool used by appellee Gary C. Gamble III is not identified on the visible record; the court inferred AI involvement from the citation pattern and referenced a federal case involving 'a brief generated by artificial intelligence' as comparable.
- The final sanction amount has not been confirmed; the matter was referred to the magistrate for determination.
- The court did not identify the specific generative AI tool appellee used; the AI inference rests on the citation pattern (phantom cases, inaccurate citations) and the court's reference to a comparable federal case involving 'a brief generated by artificial intelligence.'