Justice-sector AI / United States / U.S. Department of Justice — Drug Enforcement Administration

Fingerprint (Friction Ridge) Optical Character Recognition (OCR)

U.S. Department of Justice — Drug Enforcement Administration · Police and forensics · 2025

status as stated: DeployedUse-case inventory entryAnalytics

The DOJ 2025 inventory lists Fingerprint (Friction Ridge) Optical Character Recognition (OCR) for U.S. Department of Justice — Drug Enforcement Administration. The row states the stage as Deployed; it classifies the use case as Classical/Predictive Machine Learning for Law Enforcement.

DEA, when conducting fingerprint analysis to identify individuals who may be connected to evidence, needs to be able to compare friction ridge prints to other prints within the boundaries of a case. Product enables linking of cases where individuals are not necessarily identified.

Status date given by the source: 01/2025.

Official record: justice.gov · archived copy
Read: 2026-09-07 · primary document read
Found via: doj-inventory-2025
Notes: DOJ spreadsheet row DOJ-0296; original component field: Department of Justice / DEA.

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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