  Large language models (LLMs) have transformed many fields, including natural
language processing, computer vision, and reinforcement learning. These models
have also made a significant impact in the field of law, where they are being
increasingly utilized to automate various legal tasks, such as legal judgement
prediction, legal document analysis, and legal document writing. However, the
integration of LLMs into the legal field has also raised several legal
problems, including privacy concerns, bias, and explainability. In this survey,
we explore the integration of LLMs into the field of law. We discuss the
various applications of LLMs in legal tasks, examine the legal challenges that
arise from their use, and explore the data resources that can be used to
specialize LLMs in the legal domain. Finally, we discuss several promising
directions and conclude this paper. By doing so, we hope to provide an overview
of the current state of LLMs in law and highlight the potential benefits and
challenges of their integration.
