Reduce digital evidence backlogs without compromising information control.
Rigr AI helps police and regulated investigative teams triage extracted evidence from phones, laptops, chat logs, images, video and audio at scale — across on-premise, air-gapped, private sovereign AI, secure private cloud and government cloud deployments.
A sector-wide capacity problem, not a local failure
Phones, laptops and media-rich cases now produce more material than human-only teams can manually review on operational timelines. That pressure shows up as safeguarding decisions, charging timelines, bail decisions and case progression all waiting on a review queue — not as a single team falling behind.
The House of Lords Science and Technology Committee has highlighted that digital forensics backlogs continue to undermine timely justice, and pointed to trusted AI and digital tools as part of the response. Rigr AI is built for exactly that role: a secure triage layer that sits after acquisition and before deep manual review, directing scarce specialist time to the material most likely to matter.
Where Rigr fits
| Stage | What happens | Rigr’s role |
|---|---|---|
| 1. Acquisition / export | Existing forensic tools acquire, extract or export device data. | Rigr does not replace acquisition, unlocking or forensic collection tools. |
| 2. Rigr triage and enrichment | Rigr ingests extracted media, chats, transcripts, images, video and audio, then structures them for search, review and prioritisation. | This is the secure AI triage layer. |
| 3. Human review | Investigators, analysts and digital forensic investigators review priority material, validate outputs and build evidential narratives. | Rigr supports, but does not replace, human judgement. |
| 4. Case progression | Teams export findings, reports and references into downstream case or evidence workflows. | The outcome is earlier leads and better prioritisation, not black-box decisions. |
What this means for commanders and forensic leads
Digital evidence queues are not just an analyst problem. Rigr gives teams a faster first-pass map of large evidence sets — prioritising devices, folders, people, locations, dates, faces, entities, transcripts and media — so scarce specialist time can be directed to what’s most likely to matter. This helps improve time-to-first-lead and time-to-evidence while preserving information control: data, outputs and review decisions remain under your organisation’s control throughout.
Final investigative, evidential and legal decisions remain with authorised humans. Rigr’s role is to help trained teams decide what to review first — not to decide evidential relevance or legal status on their behalf.
See VST Teams for the operational workspace this triage layer feeds into, and Deployment, sovereignty & information control for how it runs inside your environment.