deep-investigate

Multi-source legal investigation is streamlined by orchestrating parallel sub-agents that simultaneously analyze legal, corporate, financial, and network mapping data. This parallel processing approach ensures thorough coverage and efficient analysis across diverse source categories.

Parallel sub-agent processing is an investigative mechanism that executes data analysis across multiple source categories simultaneously. It handles diverse targets by tailoring source assignments to complexity, ensuring automated and thorough corroboration of findings.

Start an investigation on a person or entity by launching a command with the target name, which triggers parallel sub-agents to query court records, corporate filings, and network mapping data. The system synthesizes findings into a comprehensive report.

Source categories are customizable when mapping a corporate network, allowing you to tailor assignments based on the target's complexity and available data. This ensures the automated investigative process covers the required legal and financial sources.

The best way to synthesize legal research findings is using an orchestration tool that identifies corroboration, contradictions, and gaps across parallel data sources. This automated comprehensive reporting ensures thorough analysis of court records and financial filings.

Automated multi-source investigation works without external dependencies, using internal scripts and assets to orchestrate parallel sub-agents. It synthesizes diverse data categories internally to identify corroboration and contradictions in the final report.