Patent Attorney Brief

IP Protection for a
Novel AI Trading System

Prepared by S.J. Rubin · March 23, 2026 · Confidential — Attorney-Client Privilege

⚖ On NDAs with Patent Attorneys

Attorney-client privilege applies automatically — a patent attorney is bound by professional ethics rules stronger than any NDA. You do not need a separate NDA to share invention details with a registered patent attorney or their firm.

You DO need NDAs for: investors, developers, potential partners, demo viewers, or anyone outside the attorney-client relationship. Sharing publicly or demonstrating the system before filing can destroy patent rights in some jurisdictions. File a provisional patent application before any public demo.

What this document is

This questionnaire captures the technical details, novelty claims, and prior art landscape for four novel systems built as part of a geopolitical AI trading bot project. It is intended to brief a patent attorney for purposes of evaluating provisional patent applications and freedom-to-operate analysis.

Invention date: March 23, 2026 (timestamped in project git history and email records)

Jurisdiction of interest: United States (primary) · Canada · EU (secondary)

Who built this?

Full legal name required
Email
Country of residence
Invention date (earliest documented)
Co-inventors (if any)
List anyone who contributed to the inventive concept — not just implementation. AI tools (Claude, GPT-4o) are not legal inventors.

What was invented?

IP-01
AI Deliberation Trading System Highest priority
A multi-AI hypothesis/critique loop where AI 1 writes a structured trade hypothesis, AI 2 critiques it with full context, subsequent AIs refine through iterative rounds, and a trade executes only when consensus confidence reaches a configurable threshold (default 95%). This is deliberation, not voting.
How is this different from prior systems?
IP-02
Multi-Pane Paper/Live Competition Framework High priority
A trading interface where parallel strategy configurations (different signal weights, thresholds, parameters) run simultaneously against identical real-time market data, with automated promotion criteria for moving a paper configuration to live trading.
How is this different from prior systems?
IP-03
Autonomous Market Expansion Lab High priority
An agentic pipeline where AIs autonomously scan untapped market sectors, propose new trading engines (keyword triggers + instrument baskets), critique proposals via deliberation, backtest against historical data, and promote passing engines to paper mode — all without human intervention beyond final approval.
How is this different from prior systems?
IP-04
Historical Analog Engine as Real-Time Signal Medium priority
A signal component that performs vector similarity matching against a calibrated 711-event historical geopolitical database, returning median instrument returns from the top-N most similar historical events as a weighted input to real-time trading decisions.
How is this different from prior systems?

How does it work?

Tech stack
Languages, frameworks, APIs, infrastructure.
Where does the system run?
Has any code been published publicly?
GitHub, NPM, PyPI, blog posts, conference talks, etc.
Has the system been demonstrated to anyone outside the inventor?

What already exists?

Note for attorney: Inventor has conducted informal prior art searches but has not performed a formal patent search. Please advise on freedom-to-operate and patentability after reviewing the claims above.
Known related systems or patents
List any systems you are aware of that do something similar.
Academic papers or publications relevant to your invention

What's the business plan?

Intended use
Target markets
Timeline to commercial launch

What do I need to know?

Additional notes or questions

This document is prepared for attorney-client privileged consultation. Print, export as PDF, or email to yourself for attorney review. Attorney-client privilege applies from first contact — no separate NDA required.