Deploying Exit Protocol

Data Ingestion & Spatial OCR

The primary bottleneck in any forensic audit is transcribing fragmented PDF bank statements. Exit Protocol utilizes a spatial-grid Optical Character Recognition (OCR) pipeline to parse unstructured data with extreme precision.

• Upload Discovery Files
  Navigate to the Evidence Vault. Upload raw bank statements, even those that are degraded, skewed, or multi-generational scans. The system automatically categorizes them by financial institution.
• Cryptographic Sealing
  Upon upload, the parsing core instantly authenticates the file by generating a SHA-256 cryptographic hash. This establishes an unassailable chain of custody from the moment of ingestion.
• Spatial Extraction
  The OCR engine analyzes the geometric structure of the page—mapping the visual distance between tokens to reconstruct distinct tabular columns (Date, Description, Debit, Credit) into a unified chronological ledger.

Deterministic LIBR Tracing

To claim separate property within a commingled account, the burden of proof is strictly mathematical. The platform rigidly enforces the Lowest Intermediate Balance Rule (LIBR) to calculate the exact traceable remainder.

• Identify the Separate Property Source
  Within the synthesized ledger, locate the initial deposit of separate funds (e.g., pre-marital cash, inheritance). Right-click the transaction and designate it as the "Separate Property Claim Baseline."
• Execute the Tracing Algorithm
  Initialize the LIBR Calculator. The engine will chronologically replay the entire account history. It continuously evaluates the formula S_t = min(S_t-1, B_t), capping your claim at the lowest actual account balance recorded on any given day.
• Generate Court-Ready Dossier
  Once the calculation completes, export the Certified Forensic Report. The output provides a daily visual timeline proving that the separate claim was never exhausted, actively neutralizing the "replenishment fallacy."

The Impeachment Engine

Financial affidavits sworn under penalty of perjury frequently contradict raw bank data. The Impeachment Engine automates the cross-referencing process to prepare litigators for deposition.

• Input Stated Affidavit Values
  Enter the opposing party's formally stated lifestyle expenses directly from their sworn financial disclosure (e.g., "Stated Monthly Dining: $500").
• Run Ledger Reconciliations
  The engine calculates moving averages of actual outgoing Point of Sale (POS) debits across the processed ledger and checks for negative discrepancies.
• Flag Contradictions
  If the system calculates a 6-month average of $2,400 in dining debits against a sworn $500 claim, it generates a data-backed contradiction flag, weaponizing the opposing party's own data against them.

The Shadow Report

When opposing counsel uses improper "civilian-grade" PDF editors to redact documents, they often fail to flatten the file, creating severe data leaks. The Shadow Report algorithms peel back these superficial layers.

• Submit Redacted Production
  Upload the opposing party's digital document production into the Shadow Report utility.
• Audit for Ghost Text & Metadata
  The system inspects the PDF's structural code to expose hidden Ghost Text Layers beneath black redaction boxes, and scrapes embedded XMP Metadata to reveal exactly who drafted the document and when it was altered.

Protocol Zero: Threat Mitigation

Because high-conflict litigation can involve physical risk or unauthorized surveillance, Exit Protocol incorporates enterprise-grade safety mechanisms.