Court case
Thomson Reuters v. ROSS Intelligence
Thomson Reuters v. ROSS Intelligence is a US copyright case over the use of Westlaw headnotes to train ROSS's AI legal search engine. The District of Delaware rejected ROSS's fair use defence, and on 29 September 2026 the Third Circuit affirmed, the first federal appeals ruling on fair use and AI training data.
Last reviewed 28 Oct 2026
Facts at a glance
| Court | US Court of Appeals for the Third Circuit, on appeal from the District of Delaware |
|---|---|
| Appeal number | No. 25-2153 (District Court No. 1:20-cv-00613) source |
| Panel | Circuit Judges Restrepo, Montgomery-Reeves (author) and Bove source |
| Argued | 11 June 2026 source |
| Decided | 29 September 2026, affirmed source |
| Works at issue | 2,243 Westlaw headnotes source |
| Holding | Headnotes are copyrightable; ROSS's use to train its AI was not fair use |
Questions people ask
- What did the Third Circuit decide in Thomson Reuters v. ROSS?
- On 29 September 2026 the court held that 2,243 Westlaw headnotes are original enough for copyright protection and that ROSS's copying of them to train its AI legal search engine was not fair use. It affirmed the District Court's partial summary judgment.
- Does the ruling cover generative AI?
- No. The opinion notes that ROSS's AI was not generative and only returned passages from existing opinions, and it says concerns raised about large language models in other cases do not apply here.