AI-assisted Settlement Data and Risk Analysis

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

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

Not reported

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Law Enforcement

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

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.

Expected benefits

(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.

System outputs

Analytics, Predictions, Recommendations: settlement risk assessments, valuation analyses, pattern identification, natural language query responses from structured and unstructured data.

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.

Potential impacts and how they were identified

Not reported