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When a voice becomes data: How voiceprint litigation informs the design of data governance controls

Emerging voiceprint litigation under Illinois' Biometric Information Privacy Act highlights the need for organizations to implement robust data governance, provenance tracking and life cycle controls that can document how voice data is collected, transformed, used, shared, protected and ultimately deleted in AI systems.

Published

Contributors:

Anna Onley

AIGP

Counsel

Ashurst Perkins Coie

Ganna Yelovets

Legal Fellow — Data privacy, IP and contracts

Chicago Nova Opera

Recent biometric litigation raises a practical question: can an organization show how a person's voice entered, moved through and left its systems? 

In May 2026, Illinois voice professionals filed nine related putative class-action lawsuits alleging that publicly available recordings were used to derive voiceprints and develop voice-enabled or generative artificial intelligence systems without notice, written release, retention policies or safeguards required by the Illinois Biometric Information Privacy Act. The complaints also assert publicity, consumer protection and unjust enrichment theories. 

The allegations remain unproven, but the cases will focus attention on the records needed to test them.

Voiceprints attract scrutiny because the trait is persistent: a person cannot choose a new voice after the compromise of a recording, identity mapping, template or model derived from voice data. BIPA emphasizes that biometrics are biologically unique, heighten identity theft risk and leave individuals without comparable recourse. The BIPA responds through Section 15, which regulates collection, retention, profit, disclosure and protection. 

The litigation presents system-level questions: Could the representation identify a speaker? Did the defendant collect or control it? Where did the conduct occur? Which event triggered notice, consent, retention, disclosure or security duties? Each question points to governance controls. To manage the "long tailed risks" where voice recordings are repurposed years later for AI development, compliance teams should move from static consent toward issue-informed, active life cycle governance. 

Is the data a voiceprint? Classify the representation

Contributors:

Anna Onley

AIGP

Counsel

Ashurst Perkins Coie

Ganna Yelovets

Legal Fellow — Data privacy, IP and contracts

Chicago Nova Opera

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