06/10/2026
Most legal teams don’t find out their AI transcription workflow has a problem until opposing counsel points it out in court.
By then, the record already exists. It cannot be quietly corrected.
AI-powered transcription has genuinely transformed what is possible at scale. A 10-hour deposition that once required days of human effort can now produce a rough transcript in minutes. That throughput is real.
But legal language is not general language. It is a specialised dialect with its own vocabulary, its own cadence, and its own consequences for error. This is precisely where AI begins to crack.
“Kowalczyk” becomes “Kowalchik.” “Nguyen” appears three different ways in the same transcript. A pharmaceutical compound gets misspelled in ways that change its identity entirely. These are not typographic nuisances. They are material errors.
And then there is speaker identification — the problem most legal ops teams don’t audit at all. In a deposition with two attorneys, a client, and a witness, mis-attributed testimony can fundamentally misrepresent the record.
AI systems carry no professional liability. They hold no certifications. Opposing counsel cannot depose or cross-examine them. When a transcript is challenged in court, how it was produced — by whom, under what process, with what level of oversight — becomes legally relevant.
Scribie’s human-in-the-loop model is built precisely for this. Transcribers with experience in legal terminology, court formatting standards, and the kind of contextual judgment that AI cannot replicate. Every transcript through a rigorous multi-step QA process. 99%+ accuracy. Guaranteed.
Scribie delivers a guaranteed accuracy of 99% or higher—because when it comes to court transcripts, every word matters.
Read the full article: https://scribie.com/blog/court-transcription-human-in-the-loop
scribie.com/legal
