BodyCam Analytics exists for one reason: to cut the time your prosecutors, paralegals, and staff lose to searching and scrubbing bodycam by 90%. Spend your time managing your cases — not hunting through hours of video for the moments that matter.
A decade ago a case file was paper. Today a single incident can arrive with bodycam footage from four officers, dashcam, and interview-room video — hours of it, on every matter in the stack. Someone has to watch all of it.
In most offices that someone is an ADA or a paralegal, scrubbing through video at 2x between hearings. The review is what delays a charging decision, holds up a plea offer, and surfaces the discovery material late. The frame where a weapon comes into view, the moment a suspect makes an admission, the second a Miranda warning is given — those decide the case. Miss one, or find it too late, and the office loses ground it cannot get back.
It is not a question of effort. It is hours in the day that no prosecutor's office has to spare. BodyCam Analytics was built to fix that — not by skipping the review, but by indexing the footage so the review moves faster. A paralegal uploads the recording with a few plain-language questions; minutes later the prosecutor opens a searchable, flagged transcript and reviews the evidence with a map of everything in it.
The scale of the problem
Estimated annual BWC footage,
millions of hours
Sources: Bureau of Justice Statistics, LEMAS 2016 & 2020; Police Executive Research Forum; Axon 2024 Digital Evidence Trends Report. Hours estimated from deployment rates and sworn officer counts.
BodyCam Analytics was founded by a team that has worked both sides of the problem — former prosecutors who have carried the burden of reviewing hours of bodycam footage on every case in the stack, and engineers who build and deploy AI systems at scale.
Our legal team brings decades of combined trial experience across violent crime, sexual assault, fraud, public corruption, and drug cases. They know exactly what a prosecutor needs from footage — because they have stood in a courtroom relying on it. Our engineering team brings deep expertise in machine learning, natural language processing, and cloud infrastructure, with backgrounds spanning startups and enterprise technology.
That combination is what makes BodyCam Analytics different. We did not build a technology product and then ask prosecutors what they needed. We started from the caseload, the docket, the hours lost to scrubbing — and built the tool that solves it. The result is a platform that thinks in charging decisions and trial prep, not features and dashboards.
BodyCam Analytics does one job well — it turns footage into a record you can act on. It is not a case-management system and it does not pretend to practice law.
Footage review should not be the bottleneck between an incident and a charging decision. The same review capacity for every case — not just the ones with time to spare.
An ADA's review hour should go to the evidence, not the scrub bar. BodyCam Analytics hands every reviewer an indexed, searchable record — so the same hours cover more cases and end in organized work product, not scattered notes.
The output is evidence organized for use — bookmarks, issue lists, witness lists — ready for a charging decision, a plea evaluation, or a moment shown to a jury.
BodyCam Analytics produces a record, not a theory of the case. The visual transcript uses court-appropriate language: it states what is on camera — a hand on a holster, a person on the ground, an object exchanged — without claiming to know why. The events of interest are flags, not conclusions. Every screen carries a plain reminder that the output is AI-generated and that any quote should be verified against the source footage before it is relied on. The charging decision, the strategy, the argument — those stay where they belong, with the prosecutor.
See how BodyCam Analytics turns an hour of bodycam into a record your office can search, filter, and act on. No signup, no scheduling — six real clips, the full workbench.