
Evolution of Network Data Records and Their Significance on LEA Investigations
For the last 50 years, the telecom industry has been happily providing technology for people to make voice calls, and to assure proper accounting they
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.

For the last 50 years, the telecom industry has been happily providing technology for people to make voice calls, and to assure proper accounting they

The 5G world is upon us! Which means Law Enforcement Agencies (LEAs) have a headache: 10X to 100X normal data rates are on the horizon. LEAs

Social Network Analysis (SNA) methods are the subject of this first blog in a series of blogs on analytics techniques, with the discussion focused on

We attended the 2013 Esri International User Conference, held July 8-12 in San Diego, CA, and it was quite an experience. Esri is a dedicated

Today’s Law Enforcement Agencies (LEAs) and related intelligence organizations are under siege on a number of fronts, and will need to change and evolve decades
THE DATA SILO DILEMMA FOR LAW ENFORCEMENT
How to Ingest, Filter and Query 5G Volumes
Webinar Presented by Kevin McTiernan