mlsanityData to 14 Oct 2026

LegalNLP -- Natural Language Processing methods for the Brazilian Legal Language

arXiv 2110.15709 ↗First posted 5 Oct 2021cs.CL cs.LGcited by 6

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Abstract (arXiv)

We present and make available pre-trained language models (Phraser, Word2Vec, Doc2Vec, FastText, and BERT) for the Brazilian legal language, a Python package with functions to facilitate their use, and a set of demonstrations/tutorials containing some applications involving them. Given that our material is built upon legal texts coming from several Brazilian courts, this initiative is extremely helpful for the Brazilian legal field, which lacks other open and specific tools and language models. Our main objective is to catalyze the use of natural language processing tools for legal texts analysis by the Brazilian industry, government, and academia, providing the necessary tools and accessible material.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 10 of its 15 references that are in the map. First posted on arXiv 5 Oct 2021.

Builds on

10 of 15 references.

References · 10

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  4. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  5. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  6. 2014Distributed Representations of Sentences and Documentscited by 678
  7. 2017Exploring the Use of Text Classification in the Legal Domaincited by 31
  8. 2017Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Taskscited by 13
  9. 2020Predicting Legal Proceedings Status: Approaches Based on Sequential Text Datacited by 2
  10. 2018Document classification using a Bi-LSTM to unclog Brazil's supreme courtcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 2; 2026: 1.

6 papers.

  1. 2023Bringing order into the realm of Transformer-based language models for artificial intelligence and lawcited by 13
  2. 2024Tucano: Advancing Neural Text Generation for Portuguesecited by 13
  3. 2024Juru: Legal Brazilian Large Language Model from Reputable Sourcescited by 5
  4. 2025The interplay between domain specialization and model sizecited by 1
  5. 2025Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Studycited by 0
  6. 2026Language Models for Portuguese: A Systematic Mapping Studycited by 0