Round Hill Music, an independent publisher controlling over 14,000 compositions and 16,000 sound recordings, filed two major copyright lawsuits against Suno and Anthropic on August 17, 2026, seeking over $1 billion in damages and alleging the companies illegally scraped and trained AI models on copyrighted music including hits like "Total Eclipse of the Heart." The case represents a fundamentally different legal strategy than previous music industry challenges to AI companies, one that doesn't rely solely on winning a fair use argument but instead attacks the underlying acquisition of the training data itself.

Round Hill's portfolio includes iconic songs from artists like Bonnie Tyler, the Goo Goo Dolls, and James Brown. The company's initial complaint names roughly 500 songs as a bellwether sample, with plans to expand to 10,000 or more compositions as the litigation proceeds. CEO Josh Gruss has declared the company will not settle, signaling this is a fight to the finish rather than a negotiation.

What Makes Round Hill's Legal Strategy Different From Previous Music Lawsuits?

While Universal Music Group, Sony Music, and Warner Music sued Suno through the Recording Industry Association of America (RIAA) in June 2024, their cases focused primarily on whether training on recordings qualifies as fair use under U.S. law. Warner settled with Suno in November 2025 for a licensing deal, and Universal settled with Udio in October 2025, leaving Sony as the only major label still actively litigating against Udio. BMG, an independent publisher, never sued at all, choosing a direct licensing partnership with Suno instead.

Round Hill's approach is broader and more aggressive. Rather than betting everything on a fair use victory, the company is pursuing four separate legal arguments simultaneously. This multi-pronged strategy means Round Hill could win damages even if courts eventually rule that AI training qualifies as fair use in other contexts.

What Are the Four Legal Arguments Round Hill Is Making?

• Direct Copyright Infringement: Round Hill alleges Suno and Anthropic simply copied its compositions and recordings without a license, the most straightforward violation of copyright law.
• DMCA Circumvention: The Digital Millennium Copyright Act (DMCA) prohibits bypassing technical access controls. Round Hill claims both companies circumvented protections on licensed platforms like YouTube to scrape music and lyrics.
• Copyright Management Information Removal: Round Hill alleges Suno and Anthropic stripped out embedded metadata that identifies a work's owner and terms of use during the scraping process, another DMCA violation.
• Permanent Stockpiling as Non-Fair Use: Rather than arguing around fair use, Round Hill directly challenges it, claiming that building and maintaining a permanent library of copyrighted material for open-ended future use fails every factor of the fair use test because the purpose is acquisitive rather than transformative.

The Suno complaint names a third defendant, Bright Data, an Israeli data-scraping company, alleging it supplied the proxy networks and scraping tools Suno used to pull music from licensed platforms, making Bright Data liable for contributory infringement.

Round Hill's attorney, Richard Busch, is the same lawyer who won the "Blurred Lines" case for the Marvin Gaye estate, bringing significant litigation experience to the case.

"There is nothing fair about that use," Busch stated, directly challenging AI companies' core defense strategy.

Richard Busch, Attorney for Round Hill Music

How Does the Munich Court Ruling Factor Into This Case?

On July 31, 2026, a Munich court ruled against Suno in a case brought by GEMA, the German collecting society, finding that Suno infringed copyright by training on GEMA's repertoire and rejecting Suno's argument that training didn't require a license. While that ruling applies German and European Union law rather than American fair use doctrine and isn't binding on U.S. courts, it represents the first real-world test of Suno's core defense, and Suno lost it.

Round Hill's complaint takes inspiration from a similar distinction made by U.S. Judge William Alsup in June 2025 during the Anthropic books case. Alsup ruled that training an AI model on copyrighted text could itself be transformative fair use, but storing millions of pirated books in a permanent library did not share that protection. Round Hill's legal team has adopted this same distinction, acquisition versus use, and made it the center of their case rather than a side argument.

Why Does Round Hill Argue That AI Companies Can Afford to License Music?

Round Hill's complaints note that Suno's and Anthropic's valuations, built in part on this copyrighted material, undercut their own argument that paying for music would have been prohibitively expensive. Other AI companies and rights organizations have successfully built training datasets by actually licensing the material, demonstrating that the cost is manageable for well-funded firms.

Busch's language in the filing makes this argument explicit. AI companies have "waxed poetic about the necessity of progress," he wrote, but there is "no reason, other than rote expediency," for that progress to come at copyright holders' cost. This framing shifts the debate from whether AI training is transformative to whether it's ethical for companies to avoid paying for the material that makes their products valuable.

What Happens Next in the Litigation?

Winning any one of Round Hill's four legal arguments would establish that Suno never had the right to the music in the first place, entitling Round Hill to damages. The company's refusal to settle suggests it's prepared for a lengthy court battle. The cases will likely take years to resolve, but the outcome could reshape how AI companies approach music licensing and training data acquisition across the industry.

The stakes extend beyond Round Hill itself. If courts accept Round Hill's argument that permanent stockpiling of copyrighted material fails the fair use test, it could undermine the legal foundation that other AI companies have relied on to defend their training practices, potentially opening the door to similar lawsuits from other rights holders and publishers.