Use Cases

Why Knowledge Graphs?

Traditional Search Limitations

Vector search alone can't answer:

• "How are these 5 people connected?"
• "What's the timeline of organizational involvement?"
• "What are common patterns across all witnesses?"

Knowledge Graphs Enable

1. Relationship Discovery

• Uncover hidden connections between entities
• Map organizational structures and hierarchies
• Understand chains of causation

2. Timeline Construction

• Automatic chronological organization
• Event sequencing and causation
• Temporal pattern detection

3. Pattern Recognition

• Identify recurring themes across documents
• Find similar fact patterns in different cases
• Detect inconsistencies in testimony

4. Multi-Document Reasoning

• Connect information scattered across dozens of documents
• Build coherent narratives from fragmented sources
• Cross-reference and verify claims

Use Cases

Case Investigation

• Map all entities mentioned across depositions
• Find connections between witnesses and parties
• Discover relationships not obvious from individual documents

Medical Malpractice

• Track patient journey across providers and facilities
• Map medication interactions and treatment timelines
• Identify standard-of-care deviations through pattern matching

Corporate Litigation

• Org chart reconstruction from email and testimony
• Decision-maker identification
• Communication pattern analysis

Discovery Analysis

• Find all mentions of specific entities across thousands of pages
• Build timelines automatically from scattered references
• Identify document gaps and missing information

Benefits

• 🔍 Deeper Insights - Discover connections traditional search misses
• ⚡ Faster Analysis - Query entire cases in seconds
• 🎯 Precise Answers - Get specific facts with source attribution
• 📊 Pattern Detection - Find recurring themes across documents
• 🔗 Relationship Mapping - Visualize entity connections
• 📈 Scalable - Handle thousands of documents efficiently