SCaLe-QA: Sri lankan Case Law Embeddings for Legal QA?

SCaLe-QA is a foundational system developed for Sri Lankan Legal Question Answering (LQA) by leveraging domain-specific embeddings derived from Supreme Court cases. The system is tailored to capture the unique linguistic and structural characteristics of Sri Lankan law through fine-tuned embeddings. While Case-Based Reasoning (CBR) will be integrated into the question-answering framework, it is primarily set for future develop- ment and evaluation. Currently, SCaLe-QA employs semantic chunking, tokenization, and BM25-based ranking to generate context-driven triplets from unlabeled corpora. In addition, an angle-optimised contrastive learning framework is applied to enhance retrieval accuracy. Preliminary results indicate promise, establishing SCaLe-QA as a significant step toward robust AI applications in the Sri Lankan legal domain.