Research

AI Training Data Lawsuit Status June 2026

Status snapshot of every major AI training-data lawsuit as of June 2026: NYT v OpenAI, Authors Guild, UMG v Anthropic, Getty v Stability, plus the H1 2026 new filings.

By Ramanath, CTO & Co-Founder at Presenc AI · Last updated: June 2026

This page snapshots active AI training-data lawsuits as of June 2026, compiled from public dockets and reporting.

Status Snapshot (June 2026)

CaseCourtStatusDemands
NYT v OpenAI & MicrosoftSDNYDiscovery + summary judgment briefing$Billions+ damages, injunctive relief
Authors Guild v OpenAISDNYDiscovery + class cert$Billions+ in aggregate
UMG v AnthropicMD Tenn / ND CalActive discoveryStatutory damages, injunction
Concord v AnthropicND CalActive discoveryStatutory damages
Getty v Stability AIUK High Court / DETrial-phase outcomes pendingDamages, injunction
Disney + NBCU v MidjourneyCD CalActiveStatutory damages, injunction
Visual artists v Stability/MidjourneyND CalClass cert + discoveryDamages
Music publishers v Suno + UdioMultipleDiscoveryStatutory damages
Reuters v Ross Intelligence (precedent)D DelPlaintiff win on fair useEstablished no-fair-use precedent for training
Wikimedia / Reddit licensing disputesMultipleOngoing licensing renegotiationLicense fees, terms

Key Takeaways

  • The Reuters v Ross Intelligence ruling established a meaningful no-fair-use precedent for AI training that plaintiffs in other suits now cite.
  • NYT v OpenAI remains the most-watched case with summary judgment briefing in 2026.
  • UMG v Anthropic and Concord v Anthropic create the largest aggregate exposure to Anthropic pre-IPO.
  • Getty v Stability outcomes in the UK trial phase will shape European training-data jurisprudence.
  • Aggregate plaintiff demands across active cases exceed $10 billion.

Methodology

Case status from PACER dockets, UK High Court filings, and public reporting through June 2026. Damages demands are plaintiff-stated; actual liability depends on outcomes. Updated monthly.

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Frequently Asked Questions

NYT v OpenAI in SDNY by case profile and discovery scope. UMG v Anthropic plus Concord v Anthropic create the largest aggregate exposure to a single defendant.
A meaningful no-fair-use precedent for AI training. Plaintiffs in other suits now cite Ross for the proposition that wholesale ingestion of copyrighted training data is not protected by fair use.
Plaintiff demands across active cases exceed $10 billion in aggregate. Actual liability depends on outcomes; settlement structures vary materially.
NYT v OpenAI summary judgment briefing is active in 2026 with potential trial in 2027 absent settlement. UMG v Anthropic and Getty v Stability follow longer timelines. Several smaller cases may settle through 2026 to remove S-1 risk-factor exposure ahead of the AI IPO wave.

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