Legal BERT LGPD 🇧🇷 Legal BERT LGPD is a domain adapted transformer model for Brazilian legal texts, with a focus on the Lei Geral de Proteção de Dados (LGPD) . It is designed to support task of token classification (NER) in the legal domain. Overview This model is based on BERT architecture and was further pre trained and fine tuned on Brazilian legal corpora, emphasizing privacy and data protection regulations. The development is grounded in academic research on legal NLP applied to LGPD. Training Background The model was developed using domain adaptation techniques over legal corpora in Portuguese. The methodology follows established approaches in Legal NLP, leveraging: Continued pre training on domain specific corpora Fine tuning for downstream legal tasks The underlying research highlights the importance of contextual embeddings for capturing the nuances of legal language, especially in highly specialized domains such as privacy law. Limitations The model is specialized in Brazilian Portuguese legal language and may not generalize well to other domains or languages. It should not be used as a substitute for professional legal advice. Performance may vary depending on task spe…
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