Justice-sector AI / United States / U.S. Department of Justice — Federal Bureau of Prisons

NLETs Arrest Classification

U.S. Department of Justice — Federal Bureau of Prisons · Corrections and probation · 2025

status as stated: DeployedUse-case inventory entryNLP / classificationSAS

The DOJ 2025 inventory lists NLETs Arrest Classification for U.S. Department of Justice — Federal Bureau of Prisons. The row states the stage as Deployed; it classifies the use case as Classical/Predictive Machine Learning for Law Enforcement and says it addresses Uses statistical techniques to classify text descriptions of arrests

Uses statistical techniques to classify text descriptions of arrests

Status date given by the source: 01/2019.

Official record: justice.gov · archived copy
Read: 2026-09-07 · primary document read
Found via: doj-inventory-2025
Notes: DOJ spreadsheet row DOJ-0158; original component field: Department of Justice / FBOP.

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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