SARAHAI-LEBS addresses critical challenges in modern law enforcement and border security by unifying disparate data sources—such as cellphone carrier logs, vehicle plate reads, video evidence, and speech recordings—into a single analytical platform. It resolves the difficulty of multi-agency collaboration by integrating diverse datasets and employing advanced pattern-of-life algorithms, inspired by U.S. Patent No. 11,308,384, to detect anomalies or potential threats before they escalate. By automating tasks like bounding-box geospatial queries, speech recognition and translation, and cell tower triangulation, SARAHAI-LEBS alleviates the cumbersome, time-consuming processes that traditionally impede real-time situational awareness. The result is a scalable system that swiftly correlates and visualizes critical intelligence—enhancing operational efficiency, tightening security checkpoints, and enabling more effective, data-driven decisions across local, state, and federal agencies.