Justice-sector AI / United States / U.S. Department of Justice — Justice Management Division / Organized Crime Drug Enforcement Task Forces

Train ML on Intelligence Analyst Best Practices

U.S. Department of Justice — Justice Management Division / Organized Crime Drug Enforcement Task Forces · Other justice agency · 2025

status as stated: Pre-deploymentUse-case inventory entrySearch and retrieval

The DOJ 2025 inventory lists Train ML on Intelligence Analyst Best Practices for U.S. Department of Justice — Justice Management Division / Organized Crime Drug Enforcement Task Forces. The row states the stage as Pre-deployment; it classifies the use case as Classical/Predictive Machine Learning for Law Enforcement.

Train AI on exemplary analyst work to suggest course of action to all IAs while they perform product research and development.

Official record: justice.gov · archived copy
Read: 2026-09-07 · primary document read
Found via: doj-inventory-2025
Notes: DOJ spreadsheet row DOJ-0192; original component field: Department of Justice / JMD / OCDETF.

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.

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