AI-assisted Settlement Data and Risk Analysis
Description
Settlements require knowledge of both valuation and risk for frequent types of litigation. An AI tool could pull both structured data from settlement databases, together with unstructured settlement memoranda, and analyze settlement risk, valuation, and qualitative factors. Users can use natural language to query one or both sources of data.
Detailed example
Analytics, Predictions, Recommendations: settlement risk assessments, valuation analyses, pattern identification, natural language query responses from structured and unstructured data.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
(1) Improved settlement decision-making through comprehensive risk and valuation analysis, leading to more favorable outcomes for the government and taxpayers. (2) Builds on existing Salesforce migration initiatives and settlement databases while adding natural language query capabilities. (3) Reduced attorney time per settlement analysis; improved consistency in settlement valuations; better risk assessment accuracy; enhanced ability to identify settlement patterns and trends.
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