UTC: 00:00:00
SID: UNAUTHEN...
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ENCRYPTION: ACTIVE (AES-256)
DEFCON: Lvl 4
• LIBR_ENGINE: DETECTED_DIP [$14,500 RECOVERED] • ENTITY_RESOLUTION: FLAGGED_CRYPTO_TRANSFER [COINBASE -> UNKNOWN_WALLET] • INTEL_ANALYSIS: BLOCKED_HOSTILE_TEXT [RISK_LEVEL: HIGH] • ALERT: NEW_OFFSHORE_NODE_IDENTIFIED • SYSTEM_STATUS: ENCRYPTION_ACTIVE (AES-256) • LIBR_ENGINE: DETECTED_DIP [$14,500 RECOVERED] • ENTITY_RESOLUTION: FLAGGED_CRYPTO_TRANSFER [COINBASE -> UNKNOWN_WALLET]
About Exit Protocol

Forensic financial intelligence, built for legal review.

Exit Protocol turns fragmented financial records, evidence, and case signals into reviewable work product for high-conflict asset disputes. The platform combines deterministic tracing, secure evidence handling, and attorney-facing workflows so complex money stories can be tested against the record.

Exit Protocol founder and software architect
Built from real discovery workflows Financial tracing, evidence integrity, and legal review shaped the product from day one.
Exit Protocol was built to reduce the cost and delay of reconstructing financial history while preserving the human review attorneys, experts, and courts still require.
Why We Built It

The record often moves faster than the review process.

In family law and civil asset disputes, records arrive late, incomplete, and difficult to compare. Manual accounting, spreadsheet cleanup, and document review can take weeks before anyone sees the pattern that matters.

Exit Protocol started from a practical observation: tracing commingled funds is difficult, but much of the work is structured. Dates, descriptions, balances, transfers, account relationships, and source documents can be normalized and checked consistently before a professional spends time arguing over conclusions.

Our product focuses on the repeatable parts of forensic work: extracting transaction data, preserving evidence references, applying deterministic tracing rules, surfacing contradictions, and packaging the result for legal review. The goal is not to replace professional judgment. The goal is to give judgment better inputs, faster.

Deterministic First

Core forensic balances are calculated by repeatable rules, not generated prose. The same inputs produce the same outputs when assumptions are unchanged.

Evidence Stays Traceable

Reports are designed to point back to source records, calculation steps, and integrity checks so reviewers can inspect the trail.

Built for Case Teams

The platform supports the way matters are actually staffed: intake, paralegal review, attorney strategy, expert consultation, and client reporting.

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See v. See Baseline
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AI-Decided Balances
256bit
Hash-Based Integrity
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Outputs Built for Review
The Architecture

Software architecture is part of evidentiary credibility.

The platform separates record extraction, deterministic calculations, AI-assisted drafting, and legal review so each function can be understood on its own terms.

Document Ingestion

OCR and parsing workflows reconstruct ledgers from difficult PDFs, scanned statements, and other messy discovery records.

Entity and Flow Mapping

Transfers, counterparties, accounts, and entities are organized into reviewable relationships so hidden patterns are easier to test.

Private Deployment Options

Firms handling sensitive client data can evaluate local or private-cloud deployment models with firm-controlled access and security policies.

Legal and Ethical Posture

Review-ready does not mean court-unquestionable.

We use careful language because evidence deserves careful handling. Exit Protocol produces structured work product for legal review; attorneys and qualified experts decide how it is used in a matter.

Methodology Notes

Reports explain the tracing logic used and preserve the calculation basis for professional review.

Human Review

Outputs are meant to support attorneys, forensic accountants, mediators, and expert witnesses, not bypass them.

Privilege Aware

Security controls are designed around sensitive financial discovery and confidential attorney work product.

Repeatability

Core calculations are built to be rerun, checked, and challenged against source records instead of hidden model behavior.

Start with Safe Data

Explore the workflow before uploading real discovery.

Use the synthetic Demo Sandbox to inspect ingestion, tracing, evidence review, and report generation before exposing client records.

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