About this project
Every day, individuals and teams sign contracts blindly because legal review is prohibitively expensive, while cloud AI models expose confidential data and trade secrets. Phalanx bridges this gap. Built on the open Model Context Protocol, it equips any AI assistant with policy-driven redaction, a Clause Knowledge Graph, and multi-agent risk analysis across Corporate, Financial, Liability, and Privacy domains. It classifies diverse contracts, uncovers cross-clause risks, benchmarks terms, and generates a negotiation email with fair redlines—all while keeping secrets in an encrypted local vault. TARGET AUDIENCE Individuals and Freelancers: Review leases and agreements without hourly legal fees. Startups and Founders: Negotiate contracts without slowing down deal velocity. Enterprise Legal and HR: Automate contract triage and enforce playbook compliance. AI Developers: Embed secure legal intelligence into custom copilots and workflows. INTELLIGENCE PIPELINE Classification: Automatically detects contract categories and applies domain rules. Policy-Driven Redaction: Anonymizes sensitive personal and commercial terms locally. Clause Knowledge Graph: Maps dependencies so hidden obligations are never missed. Multi-Agent Risk Engine: Concurrently audits governance, financial exposure, liability caps, and privacy compliance. Actionable Synthesis: Delivers an overall risk score, fair redlines, and a negotiation email. SOCIAL IMPACT Democratizing Legal Protection: Protects renters, workers, and small businesses against predatory terms. Privacy as a Fundamental Right: Sets a new ethical standard for AI in regulated sectors. FINANCIAL IMPACT Significant Cost Reduction: Replaces expensive preliminary legal reviews with instant audits. Liability Prevention: Surfaces uncapped indemnities and silent auto-renewal traps before execution. Accelerated Deal Velocity: Eliminates legal review bottlenecks to speed up time-to-revenue.
Open Innovation track
Solve any real-world problem with AI, regardless of industry or domain.