Third Circuit Delivers First Appellate Ruling on Fair Use for AI Training
The Third Circuit has become the first federal appellate court to decide whether training an AI system on copyrighted material is fair use, a precedent that reshapes how BigLaw clients litigate training-data claims.
According to a Ballard Spahr analysis, the U.S. Court of Appeals for the Third Circuit last week issued the first federal appellate decision on whether using copyrighted material to train an AI system qualifies as fair use, while leaving separate questions about generative AI output unresolved.
The significance reaches well beyond the two parties. Fair use remains the doctrinal basis for training-data disputes across the technology, media and publishing sectors, and an appellate-level treatment of the four-factor framework gives AI developers, content licensors and platforms a federal benchmark they previously lacked. Companies with both exposure and revenue models touching AI ingestion should reassess how they plead and defend training-related claims, including which authorities they lead with.
Two cautions. The available summary does not identify the case name, the specific factors the court weighed, or the disposition, so no holding should be assumed beyond the fair-use question having been decided. And the generative AI questions the court left open are likely to generate their own appellate proceedings.
What to watch: identification of the underlying docket and any petition for rehearing or further appeal, plus how other circuits treat the same issue.