Arabic Legal

Arabic legal research is rapidly advancing, focusing on applying natural language processing (NLP) techniques to analyze and understand Arabic legal texts, including court rulings and privacy policies. Current efforts leverage large language models (LLMs) like GPT and Arabic-centric models like Jais, employing various architectures such as Transformers and BiLSTMs, to improve tasks such as legal judgment prediction, machine translation of legal documents, and the creation of benchmark datasets for evaluating LLMs' performance in this domain. This work is significant for improving access to justice, enhancing legal efficiency, and advancing NLP research in low-resource languages, particularly in the context of Arabic legal systems.