Legal Case Retrieval

Legal case retrieval aims to efficiently identify relevant prior case law for a given query, assisting legal professionals in research and decision-making. Current research heavily utilizes large language models (LLMs) and knowledge graphs, often incorporating techniques like case reformulation, structural word alignment, and multi-view contrastive learning to improve retrieval accuracy and interpretability. This field is crucial for enhancing judicial efficiency and fairness, with ongoing efforts focused on developing more robust and explainable models, as well as creating larger, higher-quality datasets for training and evaluation.