Press

For journalists, scholars, and others writing about the work.

CaseGenie is an evidence-intelligence platform for legal AI. The architecture is described in two working papers, a ten-essay public arc, and a U.S. provisional patent application filed May 1, 2026. The materials below are intended for press, academic citation, and corp-dev use.

Documentary record

The dated public record of the work:

April 7, 2026

CaseGenie product launched at CaseGenie.ai.

May 1, 2026

U.S. Provisional Patent Application No. 64/055,225 filed.

May 6, 2026

The First Contamination published.

May 7, 2026

The Second Contamination published.

May 7, 2026

SSRN paper: Evidence Intelligence and the Contamination Problem in Legal AI submitted (Abstract ID 6732246).

May 8, 2026

Essays 3, 4, and 5 of the Foundation arc published.

May 8, 2026

SSRN paper: Architecture-Sensitive Duties submitted (Abstract ID 6735561).

May 10, 2026

Prompt Stain: Why Provenance Cannot Survive the First Prompt published.

May 11, 2026

Methodology Is Not Prompt Stain published.

May 11, 2026

A Handoff Is a Surface published.

May 15, 2026

Foundations Don’t Have Plumbing published.

May 15, 2026

The Five Hallucination Mechanisms published.

Press kit

Working papersBoth SSRN papers, with abstracts, citations, and working-paper metadata
Working notesThree shorter papers (May 10–11, 2026) developing the architectural argument: Prompt Stain, Methodology Is Not Prompt Stain, A Handoff Is a Surface
Patent summaryFiling date, application number, abstract, and named mechanisms
Founder noteHow and why the architecture was built
Foundation arc on SubstackTen essays published May 2026

Working sample cases

The architecture can be inspected directly in four read-only sample cases:

Rivera v. Orange Lantern Health Systems — employment retaliation
Kaplan v. Vandamm International — partnership dissolution and fraud
Martinez v. Gray Mountain Insurance — personal injury and insurance bad faith
Santos v. Orange Lantern Apartments — landlord-tenant habitability

Coverage

This section will be updated as coverage publishes. For background, source materials, or early access, use the contact below.

Contact

Press, academic, and commercial inquiries: david@casegenie.ai.

Author ORCID: 0009-0003-5883-2328

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