A US judge rejects Meta's bid to dismiss a lawsuit from Strike 3, which owns porn production companies, that alleges Meta torrented its videos for AI training
To keep their piracy lawsuit alive, adult film producers Strike 3 Holdings and Counterlife Media don't have to prove Meta used their films for AI training.
Context & Ripple Effects
Meta has faced a mixed set of copyright claims over AI training data. In the Llama book litigation, some claims survived early procedural challenges, while a later fair-use ruling favored Meta on the record presented; separate artist claims also produced mixed outcomes across AI companies.
This case adds a different alleged pathway—unauthorized copying via torrenting—rather than only a dispute over whether training use is fair. The court’s refusal to dismiss keeps that factual route open for Strike 3 Holdings and Counterlife Media.
First-order effects
- Strike 3 Holdings and Counterlife Media can continue pursuing their piracy claims against Meta, increasing Meta’s litigation burden around the provenance of material allegedly used in AI-related work.
- The plaintiffs do not need, at this stage, to prove that the videos were used for AI training, preserving a claim centered on the alleged acquisition of the files.
Second-order effects
- Meta’s defense cannot rely solely on arguments about the legality of AI training use; it must also confront allegations concerning how copyrighted material was obtained.
- Other AI copyright plaintiffs may draw a sharper distinction between claims over training and claims over unauthorized copying, particularly where they can allege a specific acquisition mechanism.
Third-order effects
- The AI-training copyright fight may increasingly turn on data provenance as well as fair use: a favorable fair-use theory may not resolve liability if underlying copies were obtained unlawfully.
- If courts continue to allow provenance-based claims to proceed, AI developers will face stronger incentives to document training-data sourcing and separate licensed or controlled datasets from material with uncertain origins.
The trend: AI copyright litigation is evolving from a broad debate over training rights into a more granular test of both the use of data and the means by which it entered model-development pipelines.