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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2755 · record R1855

AI-Assisted eDiscovery Search

Department of Homeland Security · ICE

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
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Administrative Functions
Operational functions
Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

The use case addresses inefficiencies in traditional document search and retrieval processes, such as time-consuming manual searches, the complexity of crafting SQL queries, low relevance and accuracy in search results, difficulties in digesting lengthy content, and the absence of summarization tools. These challenges hinder users' ability to efficiently access and understand critical information.

Expected benefits

The intended purpose of this AI use case is to optimize document search, retrieval, and summarization processes by enabling users to interact with data conversationally and efficiently. The benefits include improved accuracy and relevance in search results, reduced time spent analyzing large datasets, simplified access to complex information, and enhanced decision-making through concise summaries and precise outputs.

System outputs

The solution’s AI outputs include precise search results and summarized content, enabling users to quickly access information, make informed decisions, and take follow-on actions without requiring technical expertise. The tool does not make legal or case outcomes decisions; it retrieves and summarizes documents, and Office of the Principal Legal Advisor personnel remain responsible for interpreting the results and applying the law.

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
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