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Body-cam transcription for legal teams

Body-worn camera video is often the densest exhibit in a case — and the hardest to work from as a raw file. exhibit.law is built so that footage lands in a single matter, becomes a timed transcript with speakers identified, and stays searchable for everyone invited to that case.

This page describes what the product does today. It is not a claim that every department or camera system is certified, and it is not legal advice.

Why body-cam is hard as a folder of files

A shared drive or Evidence.com export gives you bytes and filenames. It does not give you a citeable timeline of who said what, when. Reviewers scrub video by ear, miss parallel threads, and cannot search a phrase across dozens of hours without watching again.

For privileged work, that pile of media also needs to stay inside one matter — not mixed into a firm-wide library where the wrong person can open the wrong file.

What exhibit.law does with body-cam

Upload body-cam (and other A/V) into the active case. The server-driven pipeline normalizes audio, runs transcription, and attaches a timed transcript to the media row — not to a free-floating note. Speakers are identified so you can follow who is talking as you review.

AI processing uses self-hosted models or third-party providers, depending on the feature and deployment configuration, under applicable no-training terms. If you need a dedicated or self-hosted deployment, contact us to discuss scope, requirements, and fit. AI output remains assistive and subject to human review; see the AI Disclosure for the current posture.

  • Timed transcript segments stay with the media file
  • Speaker labels help you map voices to people in the case
  • Search ranks phrases across transcripts and event text in that matter
  • Access is grant-based: invitees see only cases they were invited to
Product demo: sample case search highlighting SAMPLE phrases in a body-cam transcript — not real evidence
Sample data — not real evidence. Search ranks transcript hits inside the active case only.

Human review before dates harden

AI drafts for timeline events stay not-reviewed until someone confirms them. Provenance chips show whether a date came from embedded metadata, a model suggestion, or upload time — and upload-time dates are treated as placeholders, not facts, until a person sets a real moment.

The tool assists triage. It does not practice law or declare unreviewed drafts as confirmed evidence.

Try it on a matter

Create a free account, open a case you control, and upload a body-cam clip to see the transcript and review flow. For enterprise or public-defender rates, use the contact form.

Related: discovery management workflow and Evidence.com zip imports.

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