This repository serves as a curated collection of research papers exploring the intersection of Large Language Models (LLMs) and the legal domain. It aims to provide a comprehensive overview for researchers and practitioners interested in applying LLMs to legal tasks, understanding their capabilities, and addressing associated challenges.

How It Works

The repository organizes papers by application area, including legal prompt engineering, statutory reasoning, case summarization, dispute resolution, and legal document drafting. It also categorizes research on legal reasoning models, legal AI agents, and the ethical and societal implications of LLMs in law. Additionally, it lists relevant datasets and existing law-focused LLM projects.

Quick Start & Requirements

This repository is a curated list of academic papers and does not require installation or execution. Links to cited papers and related GitHub repositories are provided for further exploration.

Highlighted Details

• Comprehensive coverage of LLM applications in law, from prompt engineering to multi-agent systems.
• Includes a dedicated section for datasets and existing law-specific LLM projects.
• Features research on legal reasoning, bias, and ethical considerations.
• Provides links to benchmarks for evaluating LLMs in the legal domain.

Maintenance & Community

The repository is maintained by Jeryi-Sun. The primary contribution appears to be a survey paper on viewing LLMs in a legal aspect. Further community engagement details are not specified.

Licensing & Compatibility

The repository itself does not appear to have a specific license. The linked papers and projects will have their own respective licenses.

Limitations & Caveats

This repository is a collection of links and summaries, not an executable tool. The rapidly evolving nature of LLM research means that newer papers and developments may not yet be included.