PRISM Legal Analytics System(Proactive Retrieval & Intelligence System for Litigation Management) Overview LLM-driven legal analysis system specialized in pattern detection and evidence validation for complex litigation. Implements multi-model approach combining Ggt-4 ,roberta and graph neural networks for comprehensive legal document analysis. Key Features - Pattern recognition across 5+ years of legal documentation - Network analysis capability for 80+ witness connections - Real-time evidence chain validation - Constitutional and RICO element mapping - Emotional distress precedent analysis (California focus) Model Stack - Primary Analysis: Mixtral 8x7b Pattern recognition Legal framework mapping Evidence chain validation - Document Processing: Mistral Small Legal document analysis Evidence chain construction Citation validation - Validation Layer: GPT-4o Mini Threat pattern detection Evidence connection verification Real-time alert system Implementation - Human-in-loop validation system - Cross-reference verification - Secure document handling - Pattern evolution tracking Use Case Developed for complex litigation requiring systematic pattern recognition and evidence validation across multiple jurisdictions. Specialized in RICO and constitutional claim analysis. Structuring the repository: /evidence /patterns /threats /network /analysis /legal /patterns /validation /models /config /fine-tuning