Justice-sector AI / United States / U.S. Department of Justice — Bureau of Alcohol, Tobacco, Firearms and Explosives

Thomson Reuters CLEAR

U.S. Department of Justice — Bureau of Alcohol, Tobacco, Firearms and Explosives · Police and forensics · 2025

status as stated: DeployedUse-case inventory entryRecord linkageThomson Reuters

The DOJ 2025 inventory lists Thomson Reuters CLEAR for U.S. Department of Justice — Bureau of Alcohol, Tobacco, Firearms and Explosives. The row states the stage as Deployed; it classifies the use case as Natural Language Processing (NLP) for Law Enforcement.

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.

Status date given by the source: 01/2024.

Official record: justice.gov · archived copy
Read: 2026-09-07 · primary document read
Found via: doj-inventory-2025
Notes: DOJ spreadsheet row DOJ-0031; original component field: Department of Justice / ATF.

United States federal record — public domain (17 U.S.C. §105). The status word is the source's own on the read date; a pilot is not recorded as a deployment and a contract is not recorded as use. This record summarises a public court document or official publication and reports what it says; SafeLegalAI makes no findings of its own. Individuals and organisations are named only as they appear in that public record. Anyone named may send a right of reply, correction or contextual update (for example an appeal, vacatur or later disposition) via /report; we add a dated note where appropriate. Reply or correct this record.

compiled by the Cognesio LLP editorial teammethodas of 2026-09-07v0.1.1coding CC BY 4.0JSON Hugging Face GitHub