This "blue sky idea" paper outlines the opportunities and challenges in data mining and machine learning involving making a computational attorney -- an intelligent software agent capable of helping human lawyers with a wide range of complex high-level legal tasks such as drafting legal briefs for the prosecution or defense in court. In particular, we discuss what a ChatGPT-like Large Legal Language Model (L3M) can and cannot do today, which will inspire researchers with promising short-term and long-term research objectives.
@article{arxiv.2303.05383,
title = {Making a Computational Attorney},
author = {Dell Zhang and Frank Schilder and Jack G. Conrad and Masoud Makrehchi and David von Rickenbach and Isabelle Moulinier},
journal= {arXiv preprint arXiv:2303.05383},
year = {2023}
}
Comments
To be published in the Proceedings of the 2023 SIAM International Conference on Data Mining (SDM'23)