About Vectorized Search Index
Lexsphere's Vectorized Search Index provides pre-computed vector embeddings of our entire case law corpus, enabling powerful semantic search capabilities and advanced AI applications. Our embeddings capture the deep semantic meaning of legal concepts, allowing you to find relevant cases based on conceptual similarity rather than just keyword matching.
Semantic Search
Find cases based on conceptual similarity and legal meaning, not just keyword matching.
AI Integration
Easily integrate our vector embeddings with your own AI models and applications.
Optimized Performance
Pre-computed embeddings ensure fast search results and efficient processing for your applications.