A Rapid Semi-automated Literature Review on Legal Precedents Retrieval

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)
30 Downloads (Pure)

Abstract

Precedents constitute the starting point of judges’ reasoning in national legal systems. Precedents are also an essential input for case-based reasoning (CBR) methodologies. Although considerable research has been done on CBR applied to legal practice, the precedent retrieval techniques are a relatively new and unexplored field of AI & Law. Only a few works have tested or developed methods for identifying such previous similar cases. This work uses text mining (TM), natural language processing (NLP), and data visualization methods to provide a semi-automated rapid literature review and identify how justice courts and legal practitioners may use AI to retrieve similar cases. Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), automation techniques were used to expedite the literature review. In this study, we confirmed the feasibility of automation tools for expediting literature reviews and provided an overview of the current research state on legal precedents retrieval.
Original languageEnglish
Title of host publicationProgress in Artificial Intelligence
Subtitle of host publication21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings
EditorsGoreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha
PublisherSpringer, Cham
Chapter5
Pages53-65
Number of pages13
ISBN (Electronic)978-3-031-16474-3
ISBN (Print)978-3-031-16473-6
DOIs
Publication statusPublished - 13 Sept 2022

Publication series

NameLecture Notes in Artificial Intelligence
Volume13566
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Precedents retrieval
  • Rapid review
  • Automated

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