A software engineer has built a structured 20M+ Indian court case dataset with citation graphs, dense/sparse embeddings, and extracted metadata (judges, parties, sections, acts). The resource includes heuristic + LLM-based NER extraction pipeline, cross-referenced legislation, and serves as a novel evaluation benchmark for legal RAG systems and graph neural networks on low-resource legal domain data.