AI-powered Legal Research

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

Administrative Functions

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

DOJ attorneys spend significant time manually researching case law and regulatory precedents across jurisdictions, often missing obscure authorities or evolving standards. This initiative deploys an AI-powered legal research platform that synthesizes case law, flags conflicts or shifts in standards, and provides confidence scores for relevance, automatically updating as new decisions are published. Aligns with E.O. 14179’s innovation directive and M-25-21’s efficiency requirements.

Expected benefits

(1) Enhances DOJ's litigation effectiveness by ensuring comprehensive legal research, reducing research time per case, and improving argument quality through better precedent identification. Strengthens government's ability to defend federal programs and policies with more thorough legal foundations. (2) Builds on existing Westlaw/Lexis subscriptions, DOJ brief bank, and PACER databases. Integrates with current legal research workflows and citation management systems. (3) Reduction in research hours per brief; increase in relevant precedents cited; improved appellate success rates; measurable improvement in legal argument comprehensiveness.

System outputs

Recommendations, Classifications, Scores: research recommendations, precedent relevance scores, conflict alerts.

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.

Potential impacts and how they were identified

Not reported