LEGAL-BERT is an open pretrained BERT model adapted for legal-domain language understanding. Developers and researchers can load its weights with Transformers for fill-mask inference, fine-tuning, and related legal NLP tasks.
Legal Bert Base Uncased is an Other models project. It focuses on understanding and completing legal text with a domain-specific pretrained language model. Legal Bert Base Uncased is an open-source project aimed at NLP researchers and developers working with legal text. Legal Bert Base Uncased is open source under the Apache-2.0 license. It ships for the web and API, and it can be self-hosted.
Behind Legal Bert Base Uncased is nlpaueb, and it first shipped in 2018. The GitHub repository has been archived. Among its 9 catalogued features are fill-mask inference, pretrained weights, and legal text modeling.
Summary written by a language model from the project’s public pages.
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