Zevaras Legal AI
Production RAG platform for legal document intelligence — hybrid retrieval with query rewriting, cross-encoder reranking, and multi-provider LLM abstraction on AWS Bedrock.
ARCHITECTURE
System Design
Zevaras Legal AI is built as a modular system — each component has a clear responsibility, communicates through defined interfaces, and can evolve independently.
Coming in V2
Interactive Architecture Explorer
Zoomable system diagrams with clickable components coming in V2.
HOW IT WORKS
The thinking behind the system
Every architectural choice was made with intention. Below are the key decisions that shaped how this system works — what was chosen, what was rejected, and why.
Coming in V2
Design rationale coming soon
Detailed explanations of architectural choices will be published as the system stabilizes.
EVOLUTION
How this system grew
Building Zevaras Legal AI taught me lessons that shape how I approach every subsequent system.
Architecture decisions compound
The choices made in the first weeks determine a project's trajectory for years.
Interfaces matter more than implementations
Well-defined interfaces enable independent evolution, testing, and replacement.
Document decisions as you make them
Writing rationale in real-time captures context lost within weeks.