Legal Question Answering

Legal Question Answering (LQA) focuses on developing AI systems capable of accurately and efficiently answering legal questions using natural language processing. Current research emphasizes improving the accuracy and interpretability of LQA systems by integrating large language models (LLMs) with retrieval-augmented generation (RAG) techniques, often incorporating case-based reasoning and leveraging domain-specific knowledge to enhance performance. This field is significant for improving access to legal information and potentially automating aspects of legal research and analysis, particularly in areas with limited legal resources or expertise.