@inproceedings{0ab8f9f0bd6a4f3cbb6707a0bfae5f6f,
title = "A Multi-Stage Prompting and RAG Approach to Generating Legal Analysis in Common Law Systems",
abstract = "We explore the use of multi-stage prompting with retrieval-augmented generation (RAG) in generating legal analysis. We break the complex legal problems into small steps, including initial analysis, legal query formulation, legal sources retrieval, legal reasoning, result consolidation, and output generation. The design of this framework emulates the process a legal professional in a common law system approaches the problem.",
keywords = "legal analysis, multi-stage prompting, retrieval-augmented generation",
author = "Ng, \{Titus T.H.\} and Wu, \{Tien Hsuan\} and Chen, \{Benjamin Minhao\} and Yongxi Chen and Ben Kao",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 37th Annual Conference on Legal Knowledge and Information Systems, JURIX 2024 ; Conference date: 11-12-2024 Through 13-12-2024",
year = "2024",
doi = "10.3233/FAIA241278",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "387--388",
editor = "Jaromir Savelka and Jakub Harasta and Tereza Novotna and Jakub Misek",
booktitle = "Legal Knowledge and Information Systems - JURIX 2024",
address = "Netherlands",
}