Salesforce
Description
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.
Detailed example
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.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
(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.
Audit / financial statement impact
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.
Controls / human review
ATO: No; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.