Jason Isbell and three other musicians have opened a new legal front against artificial-intelligence music company Suno, arguing that the platform isn't simply learning from copyrighted songs—it is allegedly learning the identities of the people who made them.

Isbell, David Lowery, Guy Forsyth and Eduardo Calle filed a proposed class-action lawsuit against Suno on Aug. 31 in U.S. District Court for the District of Massachusetts. The case accuses the AI music platform of commercially exploiting musicians’ names, likenesses, voices and other identifying characteristics without their permission.

The distinction makes the case unusual among the growing number of lawsuits surrounding generative AI.

There is no copyright claim in the musicians’ 84-page complaint. Instead, the plaintiffs are relying primarily on state right-of-publicity laws, along with a claim under Illinois' Biometric Information Privacy Act.

Their argument is essentially that even if the legal fight over whether an AI company can train on copyrighted recordings remains unsettled, a musician's personal identity presents a separate question.

Artists Say Suno Can Identify Musicians by Name

Suno allows users to enter text prompts and generate original-looking songs within seconds, including vocals, lyrics and instrumentation.

The lawsuit alleges that underneath that technology is a system capable of recognizing individual musicians and producing material associated with their identities.

According to the complaint, Suno built its model so that a musician's name can function as what the plaintiffs describe as a “retrieval key” for performer-specific information. A prompt identifying an artist can allegedly lead the system toward a song, written description and imagery designed to evoke that musician.

The plaintiffs argue that those results draw on more than broad musical genres.

They claim the technology captures characteristics that can make listeners associate generated music with a particular performer—the qualities that distinguish Jason Isbell from another Americana singer, for example, rather than merely distinguishing Americana from hip-hop or jazz.

The complaint alleges Suno effectively “encoded” musicians' identities into its AI model without obtaining their consent and now benefits commercially from those identities.

Lawsuit Raises Questions About AI ‘Voiceprints’

One of the more significant allegations involves artists’ voices.

The lawsuit claims Suno captured and stored what the plaintiffs characterize as “voiceprints,” meaning distinctive vocal characteristics capable of identifying a particular person.

According to reporting on the complaint, the musicians allege those characteristics can include features such as pitch contours, formant structure and breath dynamics.

That allegation moves the dispute beyond the question of whether an AI-generated song sounds similar to a copyrighted recording.

The musicians are arguing that the characteristics of the performer—the voice and other traits that cause listeners to recognize the human being behind the music—are themselves being commercially exploited.

The lawsuit invokes right-of-publicity laws from numerous states and Puerto Rico and additionally brings the biometric-privacy claim involving alleged voiceprints.

Jason Isbell Used as an Example

The complaint attempts to demonstrate the issue using Isbell himself.

Suno says its platform blocks users from directly prompting the system with specific artists’ names. But the musicians allege those safeguards can be circumvented, including by entering spaces between the letters of an artist's name.

According to the lawsuit, entering Isbell's name resulted in an Americana-style song called “Paper Bell,” which the plaintiffs say imitated characteristics associated with his music and vocals.

The complaint argues that Suno's system recognizes “Jason Isbell” as more than a collection of letters and instead associates the name with performer-specific characteristics that can be used to produce content evoking him.

Isbell is a six-time Grammy winner who has built a prominent solo career after previously performing with Drive-By Truckers.

Joining him are Lowery, known for Camper Van Beethoven and Cracker; Texas blues singer-songwriter Forsyth; and Grammy-winning saxophonist Calle. They are seeking to represent a larger class of musicians whose identities they allege have similarly been incorporated into Suno's technology.

Suno Says the Claims Have No Merit

Suno disputes the musicians' allegations.

“We believe these claims are without merit, and we intend to defend against them,” a company spokesperson said in response to the lawsuit.

The company says its purpose is to help users create new and original music rather than capitalize on individual artists' names. Suno also maintains that it has safeguards blocking prompts containing specific artists' names or copyrighted songs and uses outside technology to screen uploaded audio and lyrics for potential unauthorized material.

The musicians contend those protections are inadequate and can be circumvented.

Those allegations have not been proven in court.

A Different Battle Over AI Music

The Isbell case arrives as Suno is already confronting separate copyright litigation from the music industry. But this lawsuit could pose a substantially different legal question.

Traditional copyright litigation generally focuses on ownership of creative works such as recordings and compositions. The Isbell plaintiffs are instead asking the court to examine what happens when an AI system allegedly reproduces characteristics associated with the human performer.

Their position is that a recording may be licensed, transferred or owned by someone else, but the musician's personal identity does not automatically travel with it.

The case could therefore help test where courts draw the line between AI systems learning broad musical characteristics and commercially exploiting recognizable attributes belonging to individual performers.

For musicians, that distinction could become increasingly important as AI-generated songs become more convincing. The next major fight over artificial intelligence and music may not simply be about who owns the song—it may be about who owns the identity behind the sound.