LexisNexis Accurint
Department of Justice · Department of Justice / ATF
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
- Presumed high-impact, determined notSource: b) Presumed high-impact, but determined 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
- 2024-01 (month precision)Source: 01/2024
- 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
The purpose of the AI use case in LexisNexis Accurint is to merge and analyze an array of public and proprietary records to build a clearer picture of individuals and entities. By automating data integration, filtering, and pattern recognition, it expedites the identification of relevant subjects and connections. This advanced approach reduces manual searching, enhances accuracy in linking data points, and strategically directs focus toward high-value leads, improving overall investigative efficiency and decision-making.
Expected benefits
The expected benefit is accelerated ID of important figures/relationships, skipping disjointed dataset searches.
System outputs
The AI features compile overviews, note aliases, highlight patterns, giving clear reference points for exploration.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Redacted for cybersecurity purposes.
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- LexisNexis
- Vendors (standardized)
- LexisNexis
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
- This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.
- 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