# Legal Text Analysis

This is a text classification model based on the SetFit framework, specifically designed for contract clause classification tasks with an accuracy of 94.25%.

A legal case analysis model fine-tuned based on InLegalBERT, specialized for legal text processing tasks

A legal text processing model fine-tuned on the CUAD dataset based on legal-bert-base-uncased

A lightweight BERT model specialized for the legal domain, with only 33% the size of BERT-BASE, significantly improving efficiency while maintaining performance

LEGAL-BERT is a series of BERT models tailored for the legal domain, designed to support legal natural language processing research and applications.

A BERT model specialized for the legal domain, optimized for European Court of Human Rights cases, excelling in legal text processing tasks

LEGAL-BERT is a BERT model family customized for the legal domain, with CONTRACTS-BERT-BASE being a sub-domain variant focused on U.S. contract texts

FidicBERT is a pre-trained language model for the legal domain based on the RoBERTa architecture, specifically optimized for classification and clustering tasks of contract documents.

This is a German legal domain Named Entity Recognition (NER) model fine-tuned based on GBERT Large, provided by deepset.ai, focusing on identifying specific entities in legal texts.