ProLaw

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

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

2022-10 (month precision)Source: 10/2022

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

ProLaw assists PRAO attorneys in searching a large quantity of prior PRAO inquiries and advice (stored within the database) to identify relevant historical inquiry files that will assist the attorneys in determining how PRAO has advised on similar matters in the past.

Expected benefits

The benefits of ProLaw is that it enables PRAO to store digitally, consistent with the component's records retention schedule, all PRAO inquiry files and then quickly search large quantities of inquiry files to identify relevant historical inquiries and advice to a current matter a PRAO attorney is working on. This greatly reduces the amount of time it takes PRAO staff to research which then reduces the wait time of the Department attorney who has requested PRAO advice. Because ProLaw allows PRAO to store records digitally, it also provides government cost savings in the amount of money paid to store hard copy records.

System outputs

ProLaw's output is information. Specifically, PRAO uses ProLaw to identify all of the digital inquiry files in the database that are consistent with the user's selected search query.

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

System name(s)

Redacted for cybersecurity purposes.

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Thomson Reuters

Vendors (standardized)

Thomson Reuters

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

k) None of the above

Training and evaluation data

The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.

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