Your Officers Are Using AI.
Case Data Is Leaving the Building.
A detective pastes witness statements into ChatGPT to find inconsistencies. A patrol officer drafts an incident report with AI. An analyst feeds suspect profiles into Claude for pattern analysis. These tools make officers faster — but every interaction sends case data, victim identities, and criminal justice information to a third-party AI provider.
This Is Happening in Your Department Right Now
Officers aren't being reckless. They're trying to clear cases, reduce paperwork, and work faster. But every one of these workflows sends sensitive law enforcement data to an AI provider that your department doesn't control.
Detective
Pastes witness statements into AI to identify inconsistencies across interviews
Data exposed
Witness names, addresses, phone numbers, case details, suspect information
Patrol Officer
Uses AI to draft incident reports from notes taken in the field
Data exposed
Victim PII, suspect descriptions, location data, juvenile information
Analyst
Feeds crime data and suspect profiles into AI for pattern analysis
Data exposed
Criminal records, surveillance data, informant identities, case linkages
Prosecutor / DA
Uploads case files into AI to summarize evidence for trial prep
Data exposed
Grand jury testimony, sealed records, victim impact statements, plea details
Crime Lab / Forensics
Asks AI to help interpret forensic findings or draft lab reports
Data exposed
DNA profiles, ballistics data, digital forensics artifacts, chain of custody details
Internal Affairs
Uses AI to analyze complaint patterns or draft investigation summaries
Data exposed
Officer personnel records, complainant identities, investigation findings
The Stakes Are Higher Than Compliance
CJIS compliance matters, but it's not the worst thing that happens when case data leaks through an AI tool. People's safety is on the line.
Cases Get Thrown Out
CriticalDefense attorneys are already filing motions to suppress evidence when AI tools were involved in case preparation. If case data was sent to a third-party AI without proper handling, the discovery implications can tank a prosecution.
Confidential Informants Exposed
CriticalInformant identities pasted into AI tools leave your organization's control permanently. This isn't a data breach — it's a safety threat. People can die when informant identities leak.
Victim Re-Victimization
CriticalVictim names, addresses, and statements sent to AI providers become data outside your control. For domestic violence and sexual assault cases, this creates direct physical safety risks.
CJIS Compliance Failure
HighFBI CJIS Security Policy requires strict controls on Criminal Justice Information. Sending CJI to commercial AI providers violates access control, encryption, and auditing requirements. Loss of NCIC access is on the table.
Active Investigation Compromise
CriticalDetails from ongoing investigations pasted into AI tools are now stored by a third party. Surveillance targets, operational plans, and undercover identities could be exposed through provider data breaches or legal demands on the AI company.
Public Records Liability
HighAI interactions may become discoverable in FOIA requests and litigation. If officers used AI to draft reports, analyze evidence, or make decisions, the prompts and responses are potential public records.
Why Policies Alone Don't Work
You can issue a general order restricting AI use. Officers will follow it when it's convenient and ignore it when they're buried in paperwork at 2 AM after a double homicide. The productivity gain from AI is too large to be stopped by policy alone.
Blocking AI at the network level pushes usage to personal phones and home computers — completely outside your visibility. You've traded a manageable risk for a blind spot.
The only approach that works: let officers use AI, but automatically strip case data, names, addresses, and identifiers before it reaches any provider. The officer gets the AI assistance. The department keeps control of the data.
How Tenlines Protects Law Enforcement Data
Tenlines operates as a gateway between your department's computers and every AI provider. When an officer pastes case notes into ChatGPT, Tenlines intercepts the request and replaces all identifying information — victim names, suspect details, addresses, case numbers — with anonymous tokens. The AI processes the request without ever seeing real identities.
When the AI responds, Tenlines restores the original identifiers so the output is immediately useful. The officer's workflow doesn't change. The department's data never leaves.
Every interaction is logged with a complete audit trail: who sent what, when, to which AI provider, and exactly what was scrubbed. This log satisfies CJIS audit requirements and provides defensible documentation if AI usage is ever challenged in court.
What Changes With Tenlines
Before Tenlines
- Officers paste case details into AI with no oversight
- Informant and victim identities leave department control
- No audit trail for AI-assisted investigations
- CJIS compliance gaps with no visibility into AI usage
- Defense attorneys challenge evidence handling in AI tools
- Juvenile records and sealed information sent to third parties
After Tenlines
- Names, addresses, case numbers, and PII are scrubbed before reaching any AI
- Identifying information is replaced with tokens — AI never sees real identities
- Every AI interaction is logged — who sent what, when, and what was scrubbed
- Automated enforcement satisfies CJIS access control and audit requirements
- Documented chain of data handling eliminates AI-related discovery challenges
- Policy engine enforces different rules by data sensitivity and classification
Protect the Mission
Law enforcement AI usage isn't going away — it's accelerating. The departments that figure out how to use AI safely will clear more cases, reduce administrative burden, and retain officers. The departments that ban AI or ignore the problem will lose on both fronts.
Tenlines lets your people use AI without putting cases, victims, or informants at risk.