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OpenAI copyright case draws 51 amicus briefs as fair-use fight widens

Fifty-one amicus briefs landed in In re OpenAI Copyright Infringement Litigation by the 30 October deadline, Publishing Perspectives reported on 3 November, and final briefs are due on 6 November. They split 26 for the plaintiffs, 18 for the defendants and eight neutral.

Media & internetAnalysisGrace OkonkwoPublished: 4 November 20263 min readSources 19
OpenAI copyright case draws 51 amicus briefs as fair-use fight widens

Fifty-one briefs and a 6 November deadline

The court received 51 amicus briefs by the 30 October deadline.

A fair-use ruling will set licensing costs for media used in AI training and shape what models may output. The 51 briefs split 26 for the plaintiffs, 18 for the defendants and eight neutral, so Judge Sidney H. Stein is not getting a consensus. No oral argument date has been set. A final round of briefs is due on 6 November. The case consolidates more than a dozen AI lawsuits, including actions filed by the Authors Guild and the New York Times. Amicus briefs let nonparties put their view to the court.

This docket drew publisher and author associations, individual creators and journalists, copyright scholars, tech groups and some U.S. legislators. The U.S. Department of Justice filed a Statement of Interest on 4 September urging the court to find that training AI on copyrighted works is fair use.

The arguments before Judge Stein

In cross-motions for summary judgment filed last month, the plaintiffs argue that OpenAI infringed by copying works to train its models, including from pirated sources. They also argue that its outputs can infringe. OpenAI's attorneys counter that copying for training qualifies as fair use, and that the outputs do not infringe.

Judge Stein has already narrowed the record once.

In October he struck a study suggesting AI books were displacing human-written works. OpenAI said its author failed to disclose a funding conflict. The author denies it, and the plaintiffs did not oppose the motion.

Music rights holders add claims

Anthropic and Suno face claims over 274 Elvis songs, 853 Reservoir songs and more than 1,000 additional tracks. The plaintiffs accuse the companies of scraping hundreds of songs without licenses. Plaintiffs include Elvis Presley's estate, Reservoir Media and Round Hill. Statutory damages sought total $41.1 million for the Presley estate, $151.4 million against Anthropic and $186.4 million against Suno. The Presley suit was filed on 23 October 2026 over 274 compositions. Both companies assert a fair-use defense and say they will defend the cases vigorously.

Outputs are the next front

The Guardian reported on 28 October that Anthropic's Claude can now decompile video game code overnight, turning a job that took months into an evening's work. Its reporter asked Claude to build a mashup in a browser. Four minutes later it produced a playable, if poor, game, and suggested hosting it locally to avoid copyright issues.

The best of these mashups still needed significant human tweaking, the paper said. The same piece reported that PS5 emulation has made an enormous jump, so that almost any PS5 game now runs on a PC. It added that much of this is extremely illegal.

That is the output side of the argument. It is harder to police than a training corpus.

What happens next

Final briefs in the OpenAI case are due on 6 November. Oral arguments will be set before Judge Stein after that filing, and no date has been announced.

SaaSrise argued that a ruling against fair use would force AI companies to build legal review, provenance tracking and licensing verification into their data pipelines. Anthropic and Suno say they will fight their music cases vigorously.

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Sources

19
  1. 01Copyright Infringement Lawsuit Against OpenAI Draws More than 50 (Very Illuminating) Amicus Briefs - Publishing PerspectivesEN
  2. 02Anthropic and Suno Face $338 Million in Music Copyright LawsuitsEN
  3. 03Social media is full of weird video game mashups. Where are they all coming from?EN
  4. 04Elvis’s Ghost Haunts AI: The $41 Million Anthropic Copyright Lawsuit ExplainedEN
  5. 05STAT+: Amid Mass General Brigham layoffs, CEO pens vague letter, stirring staff anxietyEN
  6. 06Aluminum–Air Generators for Data Centres Face a Metal Logistics TestEN
  7. 07JD.com darf MediaMarktSaturn übernehmen – mit BedingungenEN
  8. 08Behind-the-meter generation could deliver five times more grid relief than data center load shiftingEN
  9. 09With Copyright Complaints, Even Imposters Can Silence Karakalpak ActivistsEN
  10. 10The Share of Solar Generation with Co-located Battery Storage Is IncreasingEN
  11. 11AC Milan, Inter strike ‘€650m’ Generali naming rights deal for new stadiumEN
  12. 12EU lawmakers slam new border force powers to surveil social mediaEN
  13. 13China touts AI milestone: models generate more tokens than used in trainingEN
  14. 14Anthropic faces $41 million copyright lawsuit over 274 Elvis Presley songs used to train AI modelsEN
  15. 15#0117 The AI Image Prosecution Case and the Blind Spot of Side Hustles Exposed by CopyrightEN
  16. 16Impatient with Brussels, European capitals forge ahead with social media bans EN
  17. 17Frontex gets power to track migration talk on social mediaEN
  18. 18Media rights squeeze, US investment and AI tech: The sports business trends from Sportel 2026EN
  19. 19Google Cloud and NVIDIA Announce General Availability of NVIDIA Vera Rubin InfrastructureEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Grace Okonkwo

Grace Okonkwo

AI, models and technology

Grace Okonkwo covers AI, models and technology for FLASH24, working from primary sources such as model cards, API documentation and benchmark papers rather than vendor summaries. She checks training data provenance, evaluation conditions and reported scores against the underlying datasets before any figure reaches print. She interviews researchers and engineers directly, tracks release calendars from major labs, and compares successive model versions on the same tests. Her own self-hosting, home-network and documentation-reading habits feed straight into that desk, since she tests tools on her own hardware first. She does not publish benchmark claims without a reproducible method.

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