Evidence transcription, translation and summarisation
Rigr AI's Text & Audio Summarisation capability — find what matters in a case early, across languages.
Overview
A single case can hold hundreds of thousands of messages, transcripts, and screens of text. Finding the ones that matter early — not months in — can change its outcome.
Rigr AI’s Text & Audio Summarisation capability securely condenses transcripts and on-screen text — across languages — into concise summaries suitable for rapid triage and evidential preparation.
What It Does
Summarise transcripts and text to help prioritise review. Translate across supported languages, so material nobody on the team reads still gets an initial read.
What a Summary Settles, and What It Doesn’t
Summaries help investigators get an initial understanding of longer material: which of two hundred recorded calls is worth an hour, which chat thread changes the shape of the case, which interview to read first.
They are a triage signal, not a finding. Any system that writes a summary in its own words can state something its source does not support — fluently, and with every appearance of confidence. Reviewers should check the relevant original material before relying on a finding.
Operational Use
- Rapid triage of long transcripts and on-screen text
- Multilingual translation and summarisation
- Identification of key statements and entities
Designed for sensitive and challenging content that general-purpose AI systems often reject.
Deployment and Control
- Fully containerised
- On-premise and air-gapped deployment
- No external data dependency
- Customer retains control of all data
Part of a wider triage layer
Transcription and summarisation are most valuable where the volume is the problem: a case holding hundreds of thousands of messages and hours of audio. See how they combine with classification and geolocation in reducing digital evidence backlogs.
Reviewing bodycam, interviews or jail calls?
Transcription, translation and summarisation are what make a day of recorded audio reviewable in an afternoon. See how they apply to audiovisual discovery in criminal defense video evidence.
Frequently asked questions
How should investigators use AI summaries?
Summaries help investigators get an initial understanding of longer material, so review can be prioritised. Reviewers should check the relevant original material before relying on a finding.
Can it summarise across languages?
Yes. It summarises and translates transcripts and on-screen text, rendering the answer in a language other than the original where needed.
Is it suitable for sensitive content?
Yes. It is designed for sensitive and challenging content that general-purpose AI systems often reject, and runs fully containerised on-premise or air-gapped.
Can it handle a large case?
Yes. Within VST Teams it summarises each transcript and document in a case individually, so investigators can triage item by item rather than reading everything in full.