Courts Split on Fair Use; Bartz v. Anthropic Settlement #
- Courts Split on Whether AI Training Is Fair Use (PYMNTS) — Bartz v. Anthropic: court ruled training on copyrighted books constitutes fair use, but storing pirated copies does not. $1.5B settlement, ~$3,000 per work. A separate court (Meta case, June 2025) also found training transformative/fair use but disagreed on sourcing — holding training = fair use regardless of whether materials were legitimately obtained. Courts agreeing on the outcome but diverging on the reasoning creates an unstable precedent.
- AI in Litigation: An Update on AI Copyright Cases in 2026 (Norton Rose Fulbright) — July 2026 tracker update. Key cases in active litigation: Udio DMCA stream-ripping claims (denial of motion to dismiss May 21 — those claims proceed); July federal hearing on music training data could force AI companies to pay for training data; AI Copyright Lawsuit Escalates: Hagens Berman joins Suno/Udio fight with tobacco-deal firepower.
July Federal Hearing: Music Training Data #
Copyright.gov Part 3 Report #
CJEU Pending: September 3 AG Opinion #
Cross-links #
- Open vs Closed AI Ecosystems Courts-split-on-sourcing finding is particularly relevant for open-weight models trained on scraped data — the Meta ruling’s “fair use regardless of sourcing” position would benefit open-weight developers if it stands.
- AI Impact on Society The $1.5B Bartz settlement establishes a per-work floor ($3,000) that will inform licensing negotiations and future cases.
- Emerging theme: Courts are splitting not on the outcome (training = fair use, broadly) but on the reasoning (does sourcing matter?). The Meta/Bartz divergence on sourcing is the key unsettled question heading into the September CJEU opinion.
- Quality signal: Norton Rose Fulbright’s AI litigation tracker is the most comprehensive single-source update on active cases.
- Keyword suggestion:
"Bartz Anthropic" settlement OR "fair use training data sourcing" 2026 to track the sourcing-question divergence.