From the Public Safety edition of September 6, 2026
Police report-writing trial finds no significant time savings
Ian T. Adams and colleagues; Manchester Police Department · Law enforcement · Manchester, New Hampshire, United States
- Publisher
- Journal of Experimental Criminology
- Original publication
- First published October 2, 2024; assigned to 2026 journal volume
- Source retrieved
- 2026-09-07
What happened
Access to Draft One did not significantly reduce report completion time in a preregistered Manchester trial.
Why it matters
Baseline evidence newly added to this archive for police departments considering narrative copilots; this is not a newly conducted trial.
Evidence and measured results
85 officers were assigned to usual reporting (43) or AI access (42). Mixed-effects analysis covered 755 reports using RMS creation-to-submission timestamps; a 6,084-report annual analysis also found no significant effect.
Limitations and uncertainty
Single-agency intent-to-treat study: access did not mean use on every report. Elapsed timestamps are not active labor time. Report quality and downstream benefits were not established; a null result does not prove universal ineffectiveness.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-09-07; this does not change the original publication date. Labels below come from the analysis itself.
Sales
Role takeaway
Police command, records managers, finance, prosecutors and defenders need to know whether narrative assistance relieves their actual bottleneck. Ask how much work lies in structured fields, how often reports return for correction, and whether claimed savings include review. A bounded engagement could baseline one incident category and compare approved workflows. The value hypothesis is better allocation of effort if local results justify it. Do not promise headcount reductions or transfer a vendor's advertised savings to a department. This study supports testing the business case; it does not establish that a current product version will fail, or that report quality improves.
Pre-sales engineering
Role takeaway
Fit is limited to assisted documentation under officer control. Map camera ingestion, transcripts, narrative generation, RMS fields and final approval before integrating. Prerequisites include usable timestamps, comparable incident categories, authorized test data and reviewer availability. Test transcript errors, missing visual observations and interrupted uploads. Apply case permissions, encryption and controlled retention across intermediate artifacts. A proof of value should compare total handling effort and blinded factual accuracy against the existing workflow, recording actual tool use as well as assignment. Agents should prepare drafts without independent filing authority. Revalidate after model changes; this historical trial is not a benchmark of every current deployment.
Delivery
Role takeaway
The records unit should own implementation with IT, training staff and legal reviewers. Establish a baseline, train a limited cohort, record upload and correction effort, and review exceptions weekly. Dependencies include camera availability, RMS interfaces and a lawful retention plan. Proposed acceptance criteria are a preregistered improvement target for total effort, no deterioration in independently checked factual accuracy, and successful permissions and export tests. These are future criteria, not observed findings. Adoption reviews should identify who stops using the tool and why. Pause expansion if review work grows or critical facts are omitted, and retain a conventional reporting path.
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Instrument the full body-camera-to-RMS workflow, including uploads, transcription, structured entry and reviewer corrections. Compare approved cloud processing against local data-handling requirements; the paper does not establish an on-premises deployment option.
Governance
Who approves, reviews and stays accountable for outcomes?
Separate a pilot decision from a staffing reduction; require independently scored quality alongside elapsed time.
Security and privacy
What data, permissions and controls need testing?
Restrict access to witness and victim recordings, retain provenance under approved records rules, and test export and deletion.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Include officers with varied writing and language needs in validation; assess narration and correction burdens.
Procurement
What should contracts, pricing and exit terms secure?
Price the complete evidence and records integration, reviewer labor and exit costs; avoid purchasing against assumed savings.
Operating model
Which teams own the service once it runs?
A records supervisor should own report acceptance, with evaluation support separate from vendor success reporting.
Publication history
- 2026-09-06Public Safety · Issue 014 resources
Stable resource ID: manchester-draft-one-randomized-trial