Natural Language Processing as a support tool in legal documents: a systematic review
Keywords:
Natural language processing; Court documents; Legal application.Abstract
The burden of court cases has been increasing more and more, directly interfering with the performance of activities in the courts. We started looking for aid in artificial intelligence, through the use of document processing tools and techniques, promoting a significant change in the way legal activities are carried out. In this sense, a sistematic review was conduced, where Google Scholar, Portal de periódicos Capes, Science Direct - Elsevier and IEEE Xplore were consulted. The publications were obtained in order to answer 4 questions: (1) What are the most relevant scientific publications related to the application of NLP in legal documentation for the period from 2017 to 2022; (2) which NLP's techniques and tools were applied in dealing with documents in the legal domain; (3) the performance obtained when applying NLP in new documents of the Brazilian legal scope; (4) which legal databases exist in the Brazilian context have some pre-processing that helps the NLP. The literature recommends the use of deep learning algorithms to solve problems involving NLP, where their application, combined with embedding text on specific domain techniques, greatly improves the generated models.
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Copyright (c) 2024 Filipe Machado da Costa Barros, Cleison Daniel Silva, Igor Rosberg de Medeiros Silva, Victor Simões Martins, Antônio Jhoseph Silva de Araújo
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