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

Digital Forensics

U.S. Department of Justice — Department-wide · Justice ministry · 2025

status as stated: DeployedUse-case inventory entryAnalyticsThese tools include, for example, Cellebrite, Magnet Axiom and Griffeye

The DOJ 2025 inventory lists Digital Forensics for U.S. Department of Justice — Department-wide. The row states the stage as Deployed; it classifies the use case as Classical/Predictive Machine Learning for Law Enforcement and says it addresses Addresses key problems in processing digital data related to law enforcement including efficiency…

Addresses key problems in processing digital data related to law enforcement including efficiency in processing digital evidence, automating time consuming tasks such as organizing and classifying data, and accuracy in evidence analysis.

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-0103; original component field: Department of Justice / Department Wide.

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