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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-204 · record R1809

Semantic Search and Summarization for Investigative Data

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
Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
Impact justification
This use case provides a natural language contextual search and summarization capability against existing Reports of Investigation and other investigative data, producing more relevant search responses and investigative insights in the form of data, information leads or connections that HSI personnel can use to inform investigations. The AI output (search queries and responses) provide investigators with easy-to-read search responses that are accompanied by links to source material for further analysis. Any data used to produce these investigative insights are first obtained through legal means and processes for the purposes of law enforcement investigations and do not significantly impact the categories listed in the definitions of “high-impacting AI.” Personnel may use these insights for law enforcement purposes in ongoing investigations with existing targets to assist in activities such as producing risk assessments about individuals or identifying criminal suspects; however, all insights are reviewed and validated by both personnel and supervisors before being included in any official case management system, and do not serve as a principal basis for enforcement decisions. Any enforcement decisions related to these insights are outcomes of the full Federal Investigation Process involving verifying any insights as evidence.
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case intends to solve the problem of searching and extracting relevant information from large volumes of unstructured investigative data.

Expected benefits

The benefits of using this AI include increased efficiency, reduced risk of missing valuable information, and enhanced investigative capabilities.

System outputs

The outputs of this AI technology are the extracted relevant information and summaries.

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