Catalog record · Cybersecurity
Stage as of Sep 24, 2026 · historical report, not live reconfirmation.
Structured extraction from free-text records for policy research
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Oct 29, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
The ministry reports that Laurium extracts structured information from free-text case records for analysts and policymakers. It has been rolled out to work on parental imprisonment, community sentence treatment requirements, children on remand, prison safety and drug recovery wings. This is analytical use, not an automated individual decision.
- Reported stage
- Scaled
- Technology
- Other supported technology
- Business function
- Not assessed
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 29, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Scaled rollout since September 2025; snapshot accurate 2026-09-24 Status as of 2026-09-24.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
No numerical extraction quality, independent evaluation, user totals or named model on the accessed issuer page. Snapshot is explicitly not updated in real time. Case-note recording practices determine what can be measured; missing mentions are not evidence of absence. The accessed deployment page lacks model, field-level accuracy and reproducibility detail; findings must not be treated as causal evidence.
Potential FS application · inferred
Inferred: extract consistent fields from historical servicing or investigator narratives to study complaint causes, vulnerability indicators or control failures.
Inferred: extract consistent fields from historical servicing or investigator narratives to study complaint causes, vulnerability indicators or control failures.
Original industry: Justice and public-policy research. Transfer limits: Case-note recording practices determine what can be measured; missing mentions are not evidence of absence. The accessed deployment page lacks model, field-level accuracy and reproducibility detail; findings must not be treated as causal evidence.
Source register
- Action 2.1.2: Accelerate insight with AI-powered search and knowledge retrievalai.justice.gov.uk · opens in a new tab
Justice AI Unit · issuer · full-text · Published 2026-09-24
Research lanes: public_science_transfer · Batch global-discovery-2026-10-29. Coverage and remaining gaps