01 / Context
This project represents the legal AI coordinate of the atlas. It sits between applied AI, product engineering, domain-specific retrieval, and evaluation.
02 / Role
The role and exact responsibility details should be finalized later from the current CV/source bank. Keep this page as the case-study shell for now.
03 / System
Use this section for the actual architecture: retrieval flow, agent workflow, document parsing, streaming UX, evaluation loop, and any product-facing constraints.
04 / Technical Depth
Useful future details: RAG design, LLM tool calling, streaming events, document chunking, benchmark design, and legal-domain reasoning constraints.
05 / Product / Research Angle
This is the strongest place to show that the project was not just model usage. Explain why reliability, grounding, evaluation, and user workflow mattered.
06 / Result
Add concrete output, demo links, metrics, screenshots, or product learnings when ready.
07 / Reflection
Add what would be improved next: retrieval evaluation, citations, document structure, latency, UX, or robustness.