Enabling eDiscovery Platform AI
Description
Migrate CORA data to Relativity One or Everlaw, cloud based solutions to enable Relativity's and Everlaw's AI tools for review prioritization, privilege review and other advanced eDiscovery utilities. Utilize internal or third party-tools for AI-assisted collection and data processing, including image and voice recognition and analysis of complex data formats. Integrate E-Discovery tools into case management processes. This initiative transforms litigation support capabilities by leveraging AI to accelerate document review processes, reduce discovery costs, and improve case preparation efficiency and effectiveness.
Detailed example
Prioritizations, Classifications, Recommendations: document priority rankings, privilege classifications, review recommendations.
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
(1) Increases data availability and accessibility for integration with AI platforms through hosting on a scalable platform, in alignment with DOJ Data Strategy Goal #1 "Enterprise Data Management." Creates replicable enterprise capabilities that other DOJ components can adopt. (2) Allows migration to our existing environments more quickly. Discovery process will be streamlined with increased prioritization of review and lessens the time for manual privilege reviews. (3) AI enabled workflows available to Division litigating teams for privilege review, case strategy and prioritized document review.
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: Not reported; PIA: Not published