FDIC · FDIC - 25 · record R1057

Generative Artificial Intelligence (AI) for Legal Research

Federal Deposit Insurance Corporation · Division of Administration

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: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Other
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Reduce the time it takes to find legal research information, so approved FDIC employees can answer the legal sensitive questions faster and easier.

Expected benefits

Thomson Reuters plans to deliver generative AI capabilities in Westlaw. This use case will allow users with the ability to find the answers they need faster and easier. This directly supports our mission by providing users with enhanced research capabilities through generative AI. This directly supports our mission by providing users with enhanced research capabilities through generative AI.

System outputs

Commercially available legal research tools (Westlaw, Lexis Plus, and Bloomberg Law) will provide users with generative AI capabilities such as (best case law, review of a legal brief, etc.) to give attorney's information faster.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
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.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported