ONLYAI.FM
2. Juni 2026

Suno Seeks to Seal AI Training Data Size in UMG and Sony Lawsuit

Suno has filed a motion to keep details about the scale of its AI training data confidential during ongoing litigation with Universal Music Group and Sony. The request comes as major labels pursue copyright claims against the generative AI music platform. Industry observers note the case could influence how training data disclosures are handled in future AI music disputes.

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Key facts

  • Suno filed a motion to seal information on the size of its AI training data in the UMG Sony case.
  • The request targets figures related to training data volume amid major label copyright litigation.
  • Digital Music News reported Suno is fighting to conceal the training figure during the lawsuit.
  • The case involves Universal Music Group and Sony as plaintiffs against the AI music startup.
  • Sealing orders would limit public access to specific dataset metrics used by Suno.
  • Music Business Worldwide covered Suno's attempt to maintain confidentiality on training data details.

Motion to Protect Training Metrics

Suno has asked the court to seal specific details regarding the volume of data used to train its generative AI models. The motion targets information that could reveal the scale of its dataset during the copyright infringement proceedings brought by Universal Music Group and Sony. According to Music Business Worldwide, the filing seeks to prevent competitors and the public from accessing these figures. The labels argue the data is central to assessing potential infringement claims. Sealing such information remains common in technology litigation where proprietary methods are involved.

Context of the Major Label Dispute

The underlying lawsuit alleges that Suno’s AI system was trained on copyrighted sound recordings without authorization. Universal Music Group and Sony are among the plaintiffs seeking damages and injunctive relief. Suno maintains that its training processes fall under fair use, a position contested by the record labels. According to Digital Music News, the company is simultaneously defending against discovery requests that would expose training dataset sizes. The outcome may set precedents for how AI developers handle data transparency in music copyright cases.

Implications for AI Music Platforms

If granted, the sealing order would restrict public scrutiny of Suno’s training data scale, affecting how similar platforms manage disclosures. Record labels have pushed for greater transparency to evaluate the extent of unauthorized use of their catalogs. The dispute highlights tensions between AI innovation and existing copyright frameworks in the music industry. Industry analysts expect further motions as both sides prepare for potential trial proceedings. Such confidentiality requests could influence future licensing negotiations between AI firms and rights holders.

Next Steps in Litigation

The court will review Suno’s sealing request alongside ongoing discovery disputes in the case. Plaintiffs may oppose the motion, arguing public interest in understanding the data volumes at issue. Music Business Worldwide noted that similar protective orders have been granted in other technology copyright matters. Resolution of this procedural issue could accelerate or delay substantive rulings on fair use defenses. Both parties continue to exchange filings as the litigation progresses through federal court.

Sources & further reading

Waldemar, Founder, OnlyAI.fm

We aggregate and summarise daily AI music news from leading industry sources. Each article is compiled for creators, listeners, and music-tech teams who need a concise view of what changed and why it matters.

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