LexisNexis Accurint
Description
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.
Detailed example
The AI features compile overviews, note aliases, highlight patterns, giving clear reference points for exploration.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The expected benefit is accelerated ID of important figures/relationships, skipping disjointed dataset searches.
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: No; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.