Salesforce

Overview

Development stage

PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.

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

2025-01 (month precision)Source: 01/2025

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Information Technology

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This initiative modernizes our current on-premise and matter management databases and storage systems by migrating to cloud-based platforms specifically architected for AI integration and enhanced system interoperability. Our existing applications and data are currently hosted on-premise systems that create fundamental barriers to AI implementation, limiting data accessibility, constraining scalability, and preventing the real-time data integration that modern AI tools require.

Expected benefits

(1) Creates a replicable model for DOJ-wide adoption by establishing standardized cloud architecture and data integration frameworks that can be scaled across components. Demonstrates how breaking down legacy data silos enables coordinated, AI-driven insights and business intelligence capabilities that support department-wide resource allocation and investigative priorities. (2) Leverages JMD's established AWS Landing Zone to accelerate cloud adoption and builds upon existing data governance frameworks and system modernization efforts across DOJ components. The migration integrates with current cloud-based systems through the AWS Landing Zone infrastructure, enabling AI-powered business intelligence capabilities without duplicating technology investments. (3) Completing the migration to AI-native cloud infrastructure and deploying an AI-driven business intelligence dashboard that enables Division leadership to explore patterns and trends across the litigation portfolio.

System outputs

Enabling Infrastructure: creates foundational capability for AI applications rather than direct AI outputs; enables other use cases to generate their respective predictions, recommendations, and automated actions.

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Redacted for cybersecurity purposes.

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

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

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.

Training and evaluation data

The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.

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