When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance
2025-07-11
Summary
The article presents a comprehensive review of Large Language Models (LLMs) in the legal field, introducing a dual-lens taxonomy that bridges legal reasoning frameworks and technical advancements. It discusses the benefits of LLMs in enhancing legal reasoning, workflow integration, and their ability to address historical challenges in legal AI, while also highlighting ethical concerns such as hallucinations and jurisdictional adaptation difficulties.
Why This Matters
This article is significant because it provides insights into the evolving role of AI in law, a sector historically resistant to technological change. By outlining both the advancements and challenges of LLMs, it sets a roadmap for future research and practical applications, emphasizing the importance of ethical governance in legal AI systems.
How You Can Use This Info
Professionals in the legal field can leverage the findings to inform their understanding of how AI technologies can enhance legal practice, from document analysis to case prediction. Additionally, awareness of ethical implications will help legal practitioners navigate the complexities of integrating LLMs responsibly into their workflows. For further exploration, consider reviewing tools and frameworks mentioned in the article to stay at the forefront of legal technology.