CASE STUDY
How Aurora Public Defense Office Used AI transcription to win a case

THE CHALLENGE
The rise in audiovisual evidence
With the growing volume of bodycam footage and police interview video being introduced as evidence in criminal cases, the Aurora Public Defender’s Office needed a better way to manage and go through all of it.
Prosecutors would often introduce selective parts of the footage that supported their case, leaving out context that could have favored the defense. As a result, their whole team was overwhelmed by the endless sifting of hours of footage to identify inconsistencies, contradictions, or exculpatory evidence.
Moreover, the body-worn camera footage came in fragmented formats, on flash drives and discs, without a centralized or easily accessible system, making it even more difficult to manage the increasing hours of audiovisual evidence.
THE SHIFT
Reduct.Video implementation and impact
Reduct has become an essential tool for public defenders in Aurora to triage, search for key moments, and clip out footage to present as evidence in court.
In one case, their Chief Deputy Public Defender Elizabeth’s primary argument centered around racial discrimination against her African American client. Using Reduct’s search features, she was able to find a particular racially inflammatory phrase used by a witness. This became a key piece of evidence in the case centered around race, and her client was found not guilty.
In another case, police bodycam footage captured a faint audio of two officers talking- something she hadn’t initially noticed. But Reduct’s AI transcription picked it up, she was then able to build a case around that evidence, ultimately securing a not-guilty verdict.
