About This Architecture

AI-powered legal safety system that automates document risk assessment through a seven-phase sequence: OCR ingestion, AI text simplification, trust scoring across data safety and user power dimensions, dark pattern detection, missing clause identification, and gain-versus-loss analysis. The system routes user documents through Browser/App to OCR Service, then AI Engine, which orchestrates parallel analysis via Trust Scorer, Dark Pattern Detector, and Missing Clause Detector modules before Report Builder delivers findings. This architecture addresses the critical need for transparent, user-centric legal document review—helping non-lawyers identify hidden risks, unfair terms, and data exploitation before signing. Fork this diagram on Diagrams.so to customize detection modules, add compliance frameworks, or integrate with your document management platform. The sequence pattern is ideal for teams building trust-focused SaaS products where explainability and user empowerment are core differentiators.

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How can AI automatically detect unfair terms, dark patterns, and missing clauses in legal documents to protect users?

This diagram shows a seven-phase sequence where documents flow through OCR ingestion, AI-driven text simplification, and parallel analysis modules (Trust Scorer, Dark Pattern Detector, Missing Clause Detector) that evaluate data safety, user power, and clarity. The system then synthesizes gain-versus-loss awareness and delivers a comprehensive report, enabling non-lawyers to understand hidden risk