From the Public Safety edition of October 24, 2026
Salt Lake County and Montgomery County, Texas, prosecutors describe AI for evidence review and legal research, and ask police to disclose AI-drafted reports
Salt Lake County District Attorney’s Office; Montgomery County (Texas) District Attorney’s Office · Prosecution / AI-assisted evidence review · Utah and Texas, United States
- Publisher
- KSL.com
- Original publication
- Oct. 23, 2026
- Source retrieved
- 2026-10-25
What happened
Speaking around the 2026 National Prosecution Best Practices Conference in Salt Lake City, District Attorney Sim Gill said his office uses AI to organise body-camera footage into searchable transcripts and to point attorneys to relevant moments, and uses AI legal research tools inside closed systems; it does not use AI to write motions or make charging decisions. He said he has told police that officers using AI-drafted reports should disclose it and verify the content. Montgomery County, Texas, DA Mike Holley described using an AI tool to isolate relevant Snapchat messages in a child sexual abuse case, with prosecutors checking flagged messages against originals, and a tool that compares warrant affidavits to original reports. Both cited hallucination, data security and deskilling risks; Gill said efficiency does not automatically lower costs.
Why it matters
Shows how prosecutors are setting their own conditions for AI use, including a disclosure expectation for AI police reports that affects agencies using Draft One and similar tools.
Evidence and measured results
Opened the KSL article and read it in full.
Limitations and uncertainty
Interview-based reporting; no time savings, error rates or tool names are measured or verified. Statements describe intentions and practice in two offices.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-25; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- Prosecutors face growing digital evidence volume with limited staff and need help without surrendering judgment or exposing sensitive data.
- Stakeholders
- District attorneys
- Trial and appellate attorneys
- Investigators and paralegals
- Office IT and security
- Partner police agencies
- Discovery questions
- Which evidence types consume the most review time?
- Where would uploaded evidence be stored, and who could retrieve it?
- Do partner agencies disclose when reports were drafted with AI?
- Value hypothesis
- AI triage of body-camera and message evidence could direct attorney attention faster, provided every flag is verified against the original.
- Potential engagement
- Pilot assessment of one evidence-review workflow on closed cases, with a verification log and data-handling review.
- Unsupported claims
- Measured time or cost savings
- That AI research tools are hallucination-free
- That a disclosure policy for AI police reports has been adopted
Pre-sales engineering
Role takeaway
- Fit
- Prosecutor offices with heavy body-camera and digital message evidence.
- Architecture and integration
- Integrates with evidence management to transcribe and index footage; flags link to timestamps in original files; research tools run in closed environments.
- Prerequisites
- Evidence platform integration
- Data residency and retention terms
- Attorney verification workflow
- Constraints
- No accuracy data in the source
- Discovery and disclosure obligations vary by state
- Closed systems may limit model choice
- Security
- Keep evidence inside closed, access-controlled systems with audit logs; prohibit public-platform uploads.
- Proof of value
- Proposed: compare AI-flagged moments with full attorney review on closed cases and record misses
- Proposed: confirm each transcript segment links back to original footage
Delivery
Role takeaway
- Work
- Define permitted AI tasks, set verification steps and agree disclosure expectations with partner police agencies.
- Dependencies
- Evidence platform vendor
- Police agency cooperation
- Training time for attorneys
- Ownership
- District attorney’s office
- Skills and adoption
- Train attorneys to verify AI output against source evidence and to maintain core research and interviewing skills.
- Governance checkpoints
- Written list of permitted and prohibited AI uses
- Verification log review
- Annual data-handling review
- Acceptance criteria
- Proposed: every AI flag used in court is verified and logged
- Proposed: written disclosure protocol agreed with partner agencies
- Risks
- Hallucinated research summaries
- Sensitive evidence leaving controlled systems
- Deskilling of junior attorneys
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?
Closed, access-controlled AI research and evidence tools are preferred over public platforms; transcripts and flags must link back to original evidence.
Governance
Who approves, reviews and stays accountable for outcomes?
Gill describes expectations for disclosure and verification but, per the article, no newly adopted written policy on AI police reports.
Security and privacy
What data, permissions and controls need testing?
Both DAs name control over where uploaded evidence goes, how it is stored and who can retrieve it as a primary concern.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Staffing shortages drive interest; both warn about junior attorneys losing research and interviewing skills.
Procurement
What should contracts, pricing and exit terms secure?
Prosecutor offices will ask vendors about data residency, retention and access before buying AI review tools.
Operating model
Which teams own the service once it runs?
Human review of every AI flag before use in court; AI kept out of charging, plea and diversion decisions.
Publication history
- 2026-10-24Public Safety · Issue 467 resources
Stable resource ID: salt-lake-county-da-ai-evidence-review-closed-systems-disclosure-20261023