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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOJ · DOJ-0336 · record R1761

AI-enabled Legal Argument Harmonization

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
High-impactSource: a) High-impact
Impact justification
Not reported
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

Conflicting arguments across DOJ branches can weaken credibility in appellate courts. This initiative deploys AI to mine arguments across briefs, harmonize DOJ positions, and validate citations. It advances M-25-21’s governance requirement for consistent positions and E.O. 14179’s push for efficiency.

Expected benefits

(1) Enhances DOJ credibility before the court; avoids conflicting arguments. (2) Uses DOJ appellate brief bank and legal research/citation tools. (3) Reduction in conflicting arguments; % of briefs citation-validated; improved appellate outcomes.

System outputs

Recommendations, Validations: argument alignment suggestions, citation verification, position harmonization recommendations.

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