pith. sign in

arxiv: 2311.09693 · v3 · pith:FWGBBU2Unew · submitted 2023-11-16 · 💻 cs.CL · cs.AI

BLT: Can Large Language Models Handle Basic Legal Text?

classification 💻 cs.CL cs.AI
keywords legalllmsbasicbenchmarktextas-isfine-tuninghandle
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.