
Finding the Complex Relationships in Disparate Data for Lawful Intelligence
As the scope of digital information generated by subjects and devices of interest continues to grow, law enforcement agencies (LEAs) must evolve their techniques for
Lawful intelligence uses advanced technologies, but is only an adjunct to human expertise. These use cases show how intelligence tradecraft detects, deters, and disrupts threats while upholding legal standards.
Lawful intelligence gives investigators access to vast, complex data sets. Automated tools allow analysis at massive scale, but cases are built by humans, making the usability of such solutions critical.
The massive diversity and volume of data available to feed lawful intelligence practices creates significant technical complexity. Lawful intelligence platforms work below the surface to manage that complexity.
When investigators begin a new case, they often start with virtually nothing to go on. Lawful intelligence is the framework of methods, tools, and techniques that guides investigators toward resolution.
Protection of accuracy, fairness, and transparency must be demonstrated if AI-touched material influences investigative decisions or prosecutorial judgments.

As the scope of digital information generated by subjects and devices of interest continues to grow, law enforcement agencies (LEAs) must evolve their techniques for
THE DATA SILO DILEMMA FOR LAW ENFORCEMENT
How to Ingest, Filter and Query 5G Volumes
Webinar Presented by Kevin McTiernan