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Automatic redaction speeds Bedfordshire Police court files

In its PEEL inspection published on 29 January 2025, HMICFRS found that Bedfordshire Police's automatic redaction technology improves the time taken to prepare files for court.

  • 1 for an organization

    The inspectors report faster preparation of court files without a figure, and the force estimates more than 9,500 officer and staff hours saved a year.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

found, the grade of this benefitstudiedreportedclaimed

An independent audit report supports the benefit.

Size

No magnitude yet: distribution and frequency are not documented.

The system’s part
Not isolated. HMICFRS calls it automatic redaction technology and does not say that it uses artificial intelligence. Police Professional reports that the force uses artificial intelligence to auto-redact documents and that the product uses algorithms and text recognition. Neither source shows that it learns from data or compares times with and without it.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Reduced Task Time
System
Automatic redaction technology (identified by Police Professional as Riven DocDefender)
Made by
Riven, with Amazon Web Services, according to Police Professional (HMICFRS names no product)
Used by
Bedfordshire Police
Where
Bedfordshire, England, United Kingdom
Stage
In routine use
Date
, when the source was published
Kind
Benefit created
Broad benefit
Operational improvement (enhanced productivity)
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Audit report, by authors with no tie to the system.

    His Majesty's Inspectorate of Constabulary and Fire & Rescue Services. PEEL 2023-25: An inspection of Bedfordshire Police. 29 January 2025. Original address: https://hmicfrs.justiceinspectorates.gov.uk/peel-reports/bedfordshire-2023-25/ (Wayback copy cited).

    Notable projects include the development of automatic redaction technology, which significantly improves the time taken to prepare files for court.
  2. News report, by authors with no tie to the system.

    Jacques, Paul. AI saving thousands of hours of officers' time. Police Professional, 4 January 2024.

    Bedfordshire Police is using artificial intelligence to auto-redact documents, helping to help save thousands of hours of officers' time.
    It is estimated that once embedded it will save more than 9,500 officer and staff hours a year.

Details

AI system

Workflow

The product was built with the help of officers and deployed in June 2023 through the force's partnership with Amazon Web Services. Officers used it to redact personal data from phone downloads, long documents and spreadsheets before sending them to the Crown Prosecution Service.

Follow-up

Conditions for replication

Officers must check the output, since the product reached 92 percent accuracy in its pilot. The product must be embedded in file preparation to reach the estimated hours saved.

Entry details

Sector

Policing.

Purpose

Riven built DocDefender with Amazon Web Services to redact personal data from documents before they go to the Crown Prosecution Service, so that officers spend less time on redaction.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this benefit

Peter H. Vartanian. (2026). Automatic redaction speeds Bedfordshire Police court files (AIBD-1183). Artificial Intelligence Benefits Database, edition of 2 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1183.html (archived at https://doi.org/10.7910/DVN/AADSII, version 9.0)

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