Myotis
Legal AI Investigations for the Italian civil and criminal justice system: turn case files into explorable knowledge graphs with document intelligence and an AI graph assistant.
Case graphs from your fascicolo
Myotis reconstructs relationships between source documents, cited penal and civil articles, persons, and precedents, so you can explore a criminal or civil case visually, query paths in the graph, and work with an AI assistant that understands the full network.
Legal AI Investigations
Interactive case graph · Fascicolo Verdi (fictional demo)
Entity types
Fictional demo data · Hover nodes to highlight connections · Toggle full graph or data panel
Essential for Legal Studios
Myotis is a standalone version of Inputless Analytics built for Legal AI Investigations. Italian legal professionals upload civil and criminal appeals, indictments, and case files; the platform extracts entities, cites articles from the Codice Penale and civil codes, links persons, and renders an interactive investigation graph with explore tools and a graph-aware AI assistant.
Originally developed by Giovanni Errico and Leonardo Trisolini (2020-2022), Myotis empowers legal professionals with AI-driven document intelligence.
Italian Legal System Specialization
Key Capabilities
Powerful AI-driven features designed specifically for legal professionals.
Legal AI Investigations
Build interactive case graphs from civil and criminal appeals and filings, with documents, persons, articles, and precedents linked in one explorable network.
Automated Document Analysis
Instant extraction of key legal information from contracts, criminal and civil case files, and legal documents. Reduce document review time by up to 70%.
AI Legal Assistant
GPT-4 powered legal assistant with specialized Italian legal terminology and civil and criminal law understanding.
Smart Search & Precedents
Find relevant precedents and documents in seconds. AI-powered search across your entire legal document database.
Case Analytics
Track case progress, outcomes, and performance metrics. Data-driven insights for better legal practice management.
GDPR Adherence
Secure multi-tenant architecture with complete audit trails. Client confidentiality and data protection built-in.
Predictive Analytics
Identify potential case outcomes and patterns. Make informed decisions based on historical data and AI insights.
Benefits for Legal Professionals
Time Savings
Reduce document review time by up to 70% with automated analysis and instant information extraction.
Efficiency Gains
Streamline repetitive legal tasks and automate document processing. Optimize lawyer time allocation.
Faster Case Resolution
Quick access to relevant information, precedents, and insights. Real-time case updates and analytics.
Better Client Service
Real-time case updates and insights. Enhanced accuracy with AI-assisted document analysis.
Technical Stack
Built on modern, scalable infrastructure with Docker containerization.
Backend
- Django 3.2 - Web framework
- PostgreSQL - Primary database
- ArangoDB - Graph database for relationships
- Redis - Caching and message broker
- Celery - Asynchronous task processing
- spaCy - Natural language processing
- OpenAI GPT-4 - AI legal assistant
Frontend
- Webpack - Asset bundling
- Bootstrap 5 - UI framework
- JavaScript - Interactive components
- WebSocket - Real-time communication
Infrastructure
- Docker - Containerization
- Nginx - Reverse proxy and load balancer
- Prometheus - Monitoring and metrics
- Grafana - Analytics dashboards
- ClamAV - Antivirus scanning
Security & Compliance
Data Protection
- GDPR-aligned data handling
- Secure multi-tenant architecture
- Client confidentiality protection
Audit & Recovery
- Complete activity logging and tracking
- Automated backup and recovery
- Antivirus scanning with ClamAV
Quick Start
Clone Repository
Clone the Inputless Analytics Standalone repository from GitHub
Docker Setup
Ensure Docker & Docker Compose are installed. Recommended: 8GB+ RAM, 50GB+ disk space
Configure Environment
Set up environment variables including OpenAI API key for GPT-4 integration
Deploy
Run docker-compose to start the development or production environment
Access Application
Access the web interface at http://localhost:3000 and configure your legal document database