Document Relationship Explorer

The Document Relationship Explorer demonstrates how AI would be a core functionality that visualizes and helps navigate relationships between clinical trial documents.

1. Interactive Graph Visualization

   • A force-directed graph using D3.js that visualizes relationships between different types of clinical trial documents.

2. AI Insights Panel

   • A dedicated section showing AI-detected relationships, potential conflicts, and document analysis.

3. Dynamic AI Notifications

   • An AI insight notification appears after a few seconds, demonstrating how the system can proactively identify undocumented relationships or potential compliance issues.

4. Document Filtering Controls

   • Filters for document types, relationship types, and time periods to customize the visualization.

5. Document Details Panel

   • Contextual information about selected documents, their metadata, and AI-detected insights.

6. Key AI features highlighted in the interface:

   • AI-powered relationship detection between documents
   • Automatic conflict identification between different document versions
   • Proactive compliance monitoring
   • Semantic connection mapping between related content
   • Natural language search capabilities for finding relationships

The interface is designed to be intuitive while showing how AI works behind the scenes to enhance document relationship management for clinical trials. The visualization allows users to explore complex document relationships and receive AI-driven insights about potential issues or gaps in documentation.