Making a Computational Attorney

Dell Zhang; Frank Schilder; Jack G. Conrad; Masoud Makrehchi; David von Rickenbach; Isabelle Moulinier

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arXiv · 2303.05383

Making a Computational Attorney

Dell Zhang·Frank Schilder·Jack G. Conrad·Masoud Makrehchi·David von Rickenbach·Isabelle Moulinier

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Abstract

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 (L$^3$M) can and cannot do today, which will inspire researchers with promising short-term and long-term research objectives.

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Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier. 2023-03-07. Making a Computational Attorney. https://arxiv.org/abs/2303.05383

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