Open Arsenal Legal Specifications

These specifications define a modular AI governance framework built around layered legal controls that operate across data, model behavior, and deployment environments. Each layer introduces enforceable constraints such as provenance tracking, auditability requirements, permissioned execution zones, and policy-driven inference boundaries. The system is designed to function across distributed networks while maintaining consistent compliance signals, enabling organizations to embed governance directly into AI infrastructure rather than relying on external oversight. This creates a stack where legal, technical, and operational rules are interwoven, allowing AI systems to self-report compliance state and enforce restrictions at runtime.

Within this structure, a Specification Branding License may be negotiated for deployments that require attribution-free usage of the underlying framework. This license is not automatic and is determined based on the size, complexity, and scale of the network deployment, including factors such as node count, commercial usage, and integration depth. Pricing is therefore variable and scoped to implementation impact, ensuring that smaller experimental systems and large-scale enterprise or public-sector deployments are evaluated appropriately under separate terms.

Governance & Legal Specs:

• AuthorityCore Module Specification
  https://roxanneardary.com/authoritycore/
  Focus-oriented AI governance and reliability framework with jurisdiction-aware reasoning, objective contracts, authority hierarchies, evidence-constrained retrieval, scope control, and human-in-the-loop oversight.

• BudgetBotics Module Specification
  https://roxanneardary.com/budgetbotics/
  Platform for stock buyback governance with SEC Rule 10b-18 compliance, audit trails, and regulatory enforcement.

• CivicRadar Module Specification
  https://roxanneardary.com/civicradar/
  Legislative intelligence platform tracking/analyzing proposed laws with conflict detection and impact modeling.

• CodexAtlas Module Specification
  https://roxanneardary.com/codexatlas/
  Open-source legal intelligence platform designed to map and connect the world's legal systems into a unified, queryable structure.

• Commons Reasoning Network Module Specification
  https://roxanneardary.com/commons-reasoning-network/
  Open-source federated intelligence infrastructure with shared reasoning and governance framework, including governance and commons layer supported by an AI Commons Foundation.

• CortexLoop Module Specification
  https://roxanneardary.com/cortexloop/
  Human-in-the-loop AI orchestration system that enforces transparent, structured, and auditable reasoning with full user control over every decision and execution step.

• Distributed Economic Governance System (DEGS)
  https://roxanneardary.com/distributed-economic-governance-system/
  Modular AGPL 3.0+ platform for simulating/analyzing economic and organizational systems. Includes Liability Intelligence Layer, Legal Reality Layer, Human Accountability framework, ownership transformation, and AI governance/simulation for transparency, resilience, and structural improvement.

• HelmOS Module Specification
  https://roxanneardary.com/helmos/
  Modular AI agent operating layer with structured governance and execution framework, intent verification, human-in-the-loop model, and immutable AI Constitution Layer for safety, auditability, and oversight.

• Human Decision Specification
  https://roxanneardary.com/human-decision-specification/
  Modular standard for human-guided AI requiring explicit intent confirmation and evaluation of legal, regulatory, and policy constraints before actions.

• Human Intent Governance Standard (HIGS)
  https://roxanneardary.com/human-intent-governance-standard/
  Structured governance framework for AI systems enforcing verified human intent, policy constraints, legal compliance checks, risk assessment, and full auditability with intent engines, approval checkpoints, and explainable outputs.

• IntentMesh Module Specification
  https://roxanneardary.com/intentmesh/
  Governance and infrastructure layer connecting code, licensing, and execution to declared purpose/intent. Integrates SBL (licensing), HIGS, license conflict detection (OSICD), and monetization routing for compliant open-source ecosystems.

• LexChangeFeed Module Specification
  https://roxanneardary.com/lexchangefeed/
  Legal intelligence infrastructure for versioning/tracking evolving copyright law with semantic search, jurisdictional awareness, and change notifications.

• Lexara Module Specification
  https://roxanneardary.com/lexara/
  Jurisdictional intelligence system translating legal rules into executable, risk-scored compensation models and smart contract frameworks.

• LicenseTrace Module Specification
  https://roxanneardary.com/licensetrace/
  Provenance system with Legal Risk Layer for license compatibility, copyleft, and redistribution compliance.

• No Lock-In Compliance Standard (NLCS v1.0)
  https://roxanneardary.com/no-lock-in-compliance-standard/
  Open modular architecture and governance framework eliminating vendor lock-in via swappable components, compliance tiers, machine-readable schemas, validation tools, and a TOS Governance Layer with legal-aware AI oversight.

• Open Intelligence Stack Specification
  https://roxanneardary.com/open-intelligence-stack/
  Open Intelligence Stack (OIS) is a modular AI governance specification that structures multi-agent systems into specialized, human-supervised modules with built-in legal analysis, evidence scoring, and full provenance tracking. It ensures every decision is transparent, auditable, and compliant by design, with accountability enforced across all layers of the system.

• ProofLayer Module Specification
  https://roxanneardary.com/prooflayer/
  Continuous compliance infrastructure for SOC 2/SOC 3 with automated evidence, machine-readable endpoints, and verifiable transparency.

• PublicEnforcer Module Specification
  https://roxanneardary.com/publicenforcer/
  Open-source transparency platform that tracks publicly available federal enforcement data, case activity, financial penalties, and outcomes through searchable, source-linked timelines and analytics.

• RightGuide Module Specification
  https://roxanneardary.com/rightguide/
  AI-powered legal analysis platform for jurisdiction-specific laws, issue identification, reporting guidance, and resource connections.

• Specification Branding License (SBL)
  https://roxanneardary.com/intentmesh/
  Composable, machine-readable licensing for governance within IntentMesh.

• StatuteMind Module Specification
  https://roxanneardary.com/statuemind/
  AI compliance framework for hierarchical legal awareness (national to local) with risk scoring, lawful pathway guidance, and jurisdiction resolution.

• VeritasCode
  https://roxanneardary.com/veritascode/
  VeritasCode is a modular, retrieval-first, open-source AI platform that analyzes constitutions, statutes, regulations, ordinances, and case law across every jurisdiction through transparent, evidence-based retrieval. It identifies potential legal conflicts, constitutional questions, and jurisdictional inconsistencies while providing complete citations and explainable analysis to support informed human review.

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Specification Branding License (SBL)

Buy the Basket: https://roxanneardary.com/legal-specifications/

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License & Notice Requirements

Open Arsenal Legal Specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

• All contributions must comply with the AGPL-3.0+ terms.
• Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
  Roxanne Ardary and roxanneardary.com.
• Open Arsenal Legal specifications are free to use with attribution. A Specification Branding License can be negotiated upon request, with pricing dependent on deployment size and network scope.
• The project's notice.md file tracks attribution requirements and contributor acknowledgments.
  Any update that adds new contributors or modifies attribution should also update notice.md.
• When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
• Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project's notice.md file.

Open Arsenal Hub
https://github.com/openarsenalspecs