DOJ · DOJ-0334 · record R1759

AI-generated Content Detector

Department of Justice · Department of Justice / CIV

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Law Enforcement
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Federal litigators face increasing challenges with AI-manipulated evidence and documents from opposing parties. An AI tool could be used to flag potentially AI-generated content.

Expected benefits

(1) Enhanced litigation integrity by identifying potentially manipulated evidence, protecting court proceedings from AI-generated misinformation and ensuring compliance with local court rules. (2) Builds on existing document review platforms and federal privilege protection protocols. (3) Improved evidence verification accuracy; reduced risk of submitting hallucinated data; enhanced compliance with AI disclosure requirements; increased attorney confidence in document authenticity.

System outputs

Classifications, Predictions: AI-generation probability scores, document authenticity flags, content manipulation alerts, disclosure requirement notifications.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported