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arXiv · 2403.03883

SaulLM-7B: A pioneering Large Language Model for Law

Pierre Colombo·Telmo Pessoa Pires·Malik Boudiaf·Dominic Culver·Rui Melo·Caio Corro·Andre F. T. Martins·Fabrizio Esposito·Vera Lúcia Raposo·Sofia Morgado·Michael Desa
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Abstract

In this paper, we introduce SaulLM-7B, a large language model (LLM) tailored for the legal domain. With 7 billion parameters, SaulLM-7B is the first LLM designed explicitly for legal text comprehension and generation. Leveraging the Mistral 7B architecture as its foundation, SaulLM-7B is trained on an English legal corpus of over 30 billion tokens. SaulLM-7B exhibits state-of-the-art proficiency in understanding and processing legal documents. Additionally, we present a novel instructional fine-tuning method that leverages legal datasets to further enhance SaulLM-7B's performance in legal tasks. SaulLM-7B is released under the MIT License.

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Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, Andre F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa. 2024-03-06. SaulLM-7B: A pioneering Large Language Model for Law. https://arxiv.org/abs/2403.03883

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