Justice-sector AI / United States / U.S. Department of Justice — Civil Division

AI-driven Fraud Detection

U.S. Department of Justice — Civil Division · Prosecution service · 2025

status as stated: Pre-deploymentUse-case inventory entryRisk assessment

The DOJ 2025 inventory lists AI-driven Fraud Detection for U.S. Department of Justice — Civil Division. The row states the stage as Pre-deployment; it classifies the use case as Classical/Predictive Machine Learning for Law Enforcement and says it addresses Fraud diverts billions in taxpayer funds but manual review of records…

Fraud diverts billions in taxpayer funds but manual review of records is too slow to catch early misconduct. Fraud cases involve sifting through vast amounts of structured and unstructured data, often too large for manual review to detect early fraud signals. This initiative will apply AI-enabled anomaly detection to efficiently synthesize insights from vast data collections and uncover fraudulent patterns. It aligns with M-25-21’s public trust priority by safeguarding taxpayer funds and E.O. 14179’s innovation directive.

Official record: justice.gov · archived copy
Read: 2026-09-07 · primary document read
Found via: doj-inventory-2025
Notes: DOJ spreadsheet row DOJ-0339; original component field: Department of Justice / CIV.

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