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Judge refuses to dismiss indie artist’s proposed class action against Suno, clearing AI output and stream-ripping claims for discovery

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Music Business Worldwide ·

A US federal judge has allowed most of indie country artist Tony Justice’s proposed class action against AI music company Suno to continue into discovery. The ruling means the court will examine claims that Suno trained its system on artists’ YouTube recordings without permission and produced music that may unlawfully imitate protected works, an early procedural victory for the artists rather than a finding of liability.

Judge F. Dennis Saylor IV rejected Suno’s attempt to dismiss the derivative-works and alleged stream-ripping claims, while leaving an unchallenged copyright-reproduction claim intact. Although the complaint did not identify a specific Suno output infringing the plaintiffs’ own songs, it cited about 100 examples involving other rightsholders; the judge said infringement by Suno’s outputs was a plausible inference to test through discovery. The sole dismissed count was under Tennessee’s consumer-protection law, which the plaintiffs said had been cited inadvertently.

  • Most claims against Suno will proceed to discovery.
  • Judge found alleged infringing outputs plausible enough to investigate.
  • Stream-ripping allegations also survived Suno’s dismissal bid.

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Copyright law gives creators control over how their music is copied and used, including in some cases to make new works based on it. AI music companies train software on large collections of recordings so it can generate songs from user prompts; disputes have arisen over whether using recordings this way requires permission.

Tony Justice is an independent country artist bringing the case on behalf of a proposed group of artists, while Suno is the company whose music-generating system is challenged. The case matters because its outcome could help clarify how copyright rules apply to training AI on music and to songs the systems generate.

Both sides, in good faith

The strongest fair case each way — we don't pick a winner.

The case for

Artists argue that using their recordings to train a commercial system without permission may exploit their creative work and weaken their control over how it is reused. They say discovery is needed to establish what Suno copied and whether its outputs unlawfully draw on protected music, especially when the company holds much of the relevant information.

The case against

Suno and its supporters can argue that allowing the claims to proceed does not establish that training on recordings or generating similar music violates copyright, and that the plaintiffs have not identified an infringing output based on their own songs. They may contend that copyright law should distinguish copying protected expression from learning musical patterns, and that discovery should not turn a plausible allegation into an assumption of liability.

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