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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOJ · DOJ-0031 · record R1502

Thomson Reuters CLEAR

Department of Justice · Department of Justice / ATF

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
Impact justification
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Start date
2024-01 (month precision)Source: 01/2024
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Law Enforcement
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The purpose of the AI use case in Thomson Reuters Clear is to consolidate and analyze diverse records, creating coherent profiles of individuals and entities. By applying AI-driven data integration, entity resolution, and intelligent filtering, it automates traditionally manual tasks. This leads to faster identification of subjects of interest, improved accuracy in linking related data points, and a more strategic use of time and resources. Ultimately, AI integration enhances investigative effectiveness, reduces errors, and supports more targeted research.

Expected benefits

The expected benefit is reduced manual effort, enabling quicker discovery of relevant profiles/relationships.

System outputs

The AI features organize profiles, indicate links, and suggest deeper review areas, streamlining fragmented processes.

Technology

AI classification
Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s)
Redacted for cybersecurity purposes.
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Thomson Reuters
Vendors (standardized)
Thomson Reuters

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Yes
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.
Training and evaluation data
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported