BLT: Can Large Language Models Handle Basic Legal Text?

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
11/16/2023
cs.CLcs.AI

No official code found. Best implementation: BlairStanek/BLT (4 stars, last commit 2023-12-12).

Abstract

We find that the best publicly available LLMs like GPT-4 and Claude currently perform poorly on basic legal text handling. This motivates the creation of a benchmark consisting of examples that lawyers and paralegals would expect LLMs to handle zero-shot, such as looking up the text at a line of a witness deposition or at a subsection of a contract. LLMs' poor performance on this benchmark casts into doubt their reliability as-is for legal practice. However, fine-tuning on our training set brings even a small model to near-perfect performance. This benchmark will be useful for fine-tuning LLMs for downstream legal tasks, as well as for tracking LLMs' reliability as-is for basic legal tasks.

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BlairStanek/BLTCommunity100%

Basic Legal Text handling benchmark

40Shell, PythonNov 16, 20232 years agoNOASSERTION

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Cite this paper

@article{blairstanek2023blt,
  title  = {BLT: Can Large Language Models Handle Basic Legal Text?},
  author = {Andrew Blair-Stanek and Nils Holzenberger and Benjamin Van Durme},
  year   = {2023},
  eprint = {2311.09693},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.09693v3}
}

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