AI Prison Communications Monitoring

These systems ingest a facility's existing telephone infrastructure, transcribe every call using automatic speech recognition, and apply keyword and semantic analysis to flag calls for investigators. Transcripts become searchable by keyword and metadata. Keywords are typically selected jointly by facility officials and the vendor.

The dominant example is Verus, from LEO Technologies, which uses Amazon Transcribe for speech-to-text and layers keyword, semantic and generative analysis on top.

THE SCALE

Suffolk County, New York was an early pilot from 2019, scanning as many as 600,000 minutes a month. The Florida Department of Corrections paid $2.5 million from August 2023 under a contract allowing up to 50 million minutes. Georgia's Department of Corrections began in March 2020, with the company reporting more than 7.5 million calls monitored by April 2021 and actionable evidence of criminal activity in 1,612 of them. In 2022 the company stated Verus monitored more than 100,000 calls originating in California, Florida, Georgia, Missouri, Texas, New York and Louisiana — over 65 million calls a year.

WHAT THE INVESTIGATION FOUND

A Thomson Reuters Foundation investigation obtained contracts and emails from eight states and found the system used well beyond its stated gang-and-violence rationale.

Documented examples include a call flagged in which a man told his father about a COVID-19 outbreak he alleged officials were covering up, which was then shared with prison officials and company employees; and a call flagged because the person was collecting unemployment benefits. In a sales pitch to Cook County, Illinois, a company representative cited an Alabama sheriff's belief that the calls would help him fend off pending liability from civil action by inmates and activists.

The system was also reportedly configured to flag Spanish words including "abogado" and "abogada" — lawyer — which raises an obvious legal privilege question.

THE 2026 EXTENSION

LEO Technologies has extended Verus from call content into voice biometrics and video. Verus Voice AI continuously builds voice identities across monitored calls and alerts investigators when a detected speaker does not appear to match the person assigned to the account used to place the call, targeting PIN sharing. It can also act as an investigative voice seeker for a voice whose account is unknown. The company separately markets AI video analysis for correctional facilities with automated counts, behaviour detection and real-time alerts.

Biometric Update characterised this as a shift from investigator-initiated search to a continuously operating intelligence system connecting communications with physical movement and institutional history.

THE CASE FOR IT

Prisons are places where serious crime is organised, and calls are a documented vector. Monitoring is lawful, disclosed to all parties, and long established — US courts have given authorities wide scope to surveil prisoner conversations where the purpose is safety and crime prevention.

Automating what was previously spot-checking means a facility can act on what is actually said rather than on a sample, and the Georgia figures suggest it does surface genuine criminal activity.

Legitimate safeguarding uses exist too, including identifying people at risk of self-harm or being coerced.

THE CASE AGAINST

The defining problem is who else is on the call. Every conversation captured includes a person outside the institution — usually a family member — who has been convicted of nothing, has no realistic alternative means of contact, and whose only choice is to accept monitoring or not speak to their relative.

The documented scope creep is not speculative. Flagging a call about a COVID outbreak, or about unemployment benefits, is not gang intelligence, and the Alabama sales pitch describes using the system to defend the institution against litigation by the people it holds.

The reported flagging of the word "lawyer" is the most serious single allegation, because privileged communication is the one category monitoring is supposed to exclude.

The 2026 extension changes the character of the system. Continuous voice identification builds a biometric profile of everyone who calls a prisoner, including outside parties, and no consent mechanism exists for them.

WHAT IS NOT ESTABLISHED

No named facility has been confirmed as deploying the voice biometrics extension; it is recorded as a launched product rather than a verified deployment.

Whether the legal-privilege keyword configuration was corrected, and whether any privileged call was reviewed, is not established.

What proportion of flagged calls result in disciplinary or criminal action is not published.

Retention periods for transcripts, and for voice profiles of outside callers, are not documented in any deployment reviewed.