AI Forensic Investigation Report Agent

How Cassidy automates Forensic Engagements using AI

Step 1: Trigger on matter intake

The Workflow activates when a new forensic engagement is initiated, capturing allegation summaries, scope parameters, jurisdictions, and retention terms from your matter management system or intake form.

Step 2: Connect and collect financial data sources

Cassidy pulls data from connected ERPs, general ledgers, banking platforms, and document repositories—automatically generating forensic hashes and chain-of-custody documentation for each source.

Step 3: Normalize and map transaction data

The Workflow harmonizes multi-system exports, mapping charts of accounts, resolving vendor entities, and normalizing currencies and dates into a master transaction repository with full source traceability.

Step 4: Execute forensic analysis procedures

Cassidy runs configurable forensic tests—proof-of-cash, flow-of-funds tracing, duplicate vendor detection, round-trip analysis, and statistical anomaly checks—logging every parameter and result in auditable workpapers.

Step 5: Quantify losses and build schedules

The Workflow calculates loss amounts, disgorgement figures, and interest with documented assumptions, generating tick-marked schedules that cross-reference directly to source transactions.

Step 6: Generate court-ready report and exhibits

Cassidy assembles the expert report using templates aligned to FRCP 26(a)(2)(B) requirements, auto-populating opinions, methodology sections, and appendices while Bates-stamping all exhibits.

Step 7: Human-in-the-Loop review and sign-off

The completed report routes to designated reviewers for tie-out verification and approval, with all changes tracked in an immutable audit log ready for Daubert challenges or cross-examination.