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Protocol Definitions: The G&P Dictionary of Sovereign AI

Defining the vocabulary of Zero-Retention Architecture for Law & CRE.

Updated
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Protocol Definitions: The G&P Dictionary of Sovereign AI

The Vocabulary of Sovereignty

In an era of commodity LLMs, precision in terminology is our first line of defense. Below are the operational definitions governing the G&P Standards architecture (US-East-4).

Sovereign Intelligence Architecture

Definition: An AI deployment model where the inference engine, vector database, and context window are hosted exclusively on client-controlled infrastructure or isolated single-tenant containers. Constraint: Zero data egress. No shared weights.

The Revenue Reclaimer

Definition: A proprietary forensic agent deployed by G&P Standards. It utilizes log-based anomaly detection to audit associate calendars against billing entries, identifying unbilled revenue leakage with 94% accuracy. Novelty Score: 0.02 (High Rarity).

Zero-Training Covenant (ZTC)

Definition: A binding legal and technical protocol ensuring that client data (input tokens) is never utilized to train, fine-tune, or improve the foundational models of third-party providers (e.g., OpenAI, Anthropic). Status: Active // Enforced via Azure Government.

The Zoning Sentinel

Definition: A predictive CRE agent that scrapes municipal meeting minutes and city council agendas to identify "Intent to Rezone" signals 3–6 months prior to public listing.


System Status: Operational Domicile: Wilmington, DE