Abstract

A jurisprudence search system is a solution that makes available to its users a set of decisions made by public bodies on the recurring understanding as a way of understanding the law. In the similarity of legal decisions, jurisprudence seeks subsidies that provide stability, uniformity, and some predictability in the analysis of a case decided. This paper presents a proposed solution architecture for the jurisprudence search system of the Brazilian Administrative Council for Economic Defense (CADE), with a view to building and expanding the knowledge generated regarding the economic defense of competition to support the agency’s final procedural business activities. We conducted a literature review and a survey to investigate the characteristics and functionalities of the jurisprudence search systems used by Brazilian public administration agencies. Our findings revealed that the prevailing technologies of Brazilian agencies in developing jurisdictional search systems are Java programming language and Apache Solr as the main indexing engine. Around 87% of the jurisprudence search systems use machine learning classification. On the other hand, the systems do not use too many artificial intelligence and morphological construction techniques. No agency participating in the survey claimed to use ontology to treat structured and unstructured data from different sources and formats.

Highlights

  • Jurisprudence is a set of interpretations of laws and decisions made by courts regarding similar cases

  • Resources and technologies are used in the development of a search system, such as: Facets [6], indexing [7], ontology [8], Text Mining [9,10] and natural language processing (NLP) [10]

  • We performed a literature review to investigate the characteristics of existing Jurisprudence Search systems to identify some challenges and functionalities that we could incorporate in its development for a Brazilian Federal Public Administration agency

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Summary

Introduction

Jurisprudence is a set of interpretations of laws and decisions made by courts regarding similar cases. It is common to use tools capable of performing jurisprudential searches, which search for similar situations in a source of judicial decisions, resulting in a set of similar processes that can serve as a basis for various legal activities [2]. A Jurisprudence system is a solution that makes available to its users a set of collegiate or court decisions, i.e., the recurring understanding of [5] decisions, as a way of understanding the law. Collecting the terms of a domain, as well as specifying its structure, is of great importance and one of the essential parts of an ontology [11]. Ontologies organize and structure information that describes a domain to make it understandable by all interested parties. Ontologies can establish interconnections between Information Systems when they share or make available parts or all of it for any purpose [12]

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