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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-48 · record R1813

Email Analytics 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 more efficient data processing for HSI personnel. The AI output may be used to produce investigative insights in the form of data, information leads or connections that HSI personnel can use to inform investigations, but the output itself is data preparation and organization so HSI personnel can produce those leads when combining the AI output with the personnel’s expertise and other relevant investigative data and information. 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 law enforcement action or decision. Any enforcement decisions related to these insights are outcomes of the full Federal Investigation Process involving verifying any insights as evidence (including validating AI-translated material by a certified interpreter), presentation to a U.S. Attorney’s Office and potentially a District Court judge, decision to prosecute, judicial review, and trial and sentencing.
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case intends to solve the problem of the time-consuming and resource-intensive process of preparing multilingual email data for analysis.

Expected benefits

Homeland Security Investigations (HSI) personnel encounter large volumes of legally acquired, multilingual email data that must be prepared (ingested, triaged, translated, searched and filtered) before it can be analyzed to support investigations. The email analytics workflow eliminates manual data preparation processes, and leverages machine learning to conduct spam message classification, translation, and entity extraction, including names, organizations, or locations. It also utilizes HSI's AI-enabled translation capabilities (see related use case “Translation and Transcription for Investigative Data”) for translation of emails in other languages to English. The output reduces time and resources spent preparing data, increases the analytic utility of the data, and allows HSI personnel to more quickly conduct analysis on the information.

System outputs

The output is email data that has undergone spam message classification, translation, and entity extraction, including names, organizations, or locations.

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