mlsanityData to 14 Oct 2026

Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey

arXiv 2404.00990 ↗First posted 1 Apr 2024cs.CLcited by 6

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Abstract (arXiv)

With the advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), there is a profound transformation occurring in the realm of natural language processing tasks within the legal domain. The capabilities of LLMs are increasingly demonstrating unique roles in the legal sector, bringing both distinctive benefits and various challenges. This survey delves into the synergy between LLMs and the legal system, such as their applications in tasks like legal text comprehension, case retrieval, and analysis. Furthermore, this survey highlights key challenges faced by LLMs in the legal domain, including bias, interpretability, and ethical considerations, as well as how researchers are addressing these issues. The survey showcases the latest advancements in fine-tuned legal LLMs tailored for various legal systems, along with legal datasets available for fine-tuning LLMs in various languages. Additionally, it proposes directions for future research and development.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 41 of its 60 references that are in the map. First posted on arXiv 1 Apr 2024.

Builds on

41 of 60 references.

References · 41

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29 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 1.

6 papers.