A Rapid Semi-automated Literature Review on Legal Precedents Retrieval

Bibliographic Details
Main Author: Silva, Hugo
Publication Date: 2022
Other Authors: António, Nuno, Bacao, Fernando
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/144564
Summary: Silva, H., António, N., & Bacao, F. (2022). A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_5. Funding Information: This research was supported by a grant from the Portuguese Foundation for Science and Technology (“Fundação para a Ciência e a Tecnologia”) [grant number DSAIPA/DS/0116/2019].
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spelling A Rapid Semi-automated Literature Review on Legal Precedents RetrievalPrecedents retrievalRapid reviewAutomatedTheoretical Computer ScienceComputer Science(all)SDG 16 - Peace, Justice and Strong InstitutionsSilva, H., António, N., & Bacao, F. (2022). A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_5. Funding Information: This research was supported by a grant from the Portuguese Foundation for Science and Technology (“Fundação para a Ciência e a Tecnologia”) [grant number DSAIPA/DS/0116/2019].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.Springer, ChamNOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNSilva, HugoAntónio, NunoBacao, Fernando2024-02-17T01:31:54Z2022-09-132022-09-13T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersion13application/pdfhttp://hdl.handle.net/10362/144564eng978-3-031-16473-60302-9743PURE: 46626063https://doi.org/10.1007/978-3-031-16474-3_5info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:05:50Zoai:run.unl.pt:10362/144564Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:36:16.783467Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
title A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
spellingShingle A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
Silva, Hugo
Precedents retrieval
Rapid review
Automated
Theoretical Computer Science
Computer Science(all)
SDG 16 - Peace, Justice and Strong Institutions
title_short A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
title_full A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
title_fullStr A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
title_full_unstemmed A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
title_sort A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
author Silva, Hugo
author_facet Silva, Hugo
António, Nuno
Bacao, Fernando
author_role author
author2 António, Nuno
Bacao, Fernando
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Silva, Hugo
António, Nuno
Bacao, Fernando
dc.subject.por.fl_str_mv Precedents retrieval
Rapid review
Automated
Theoretical Computer Science
Computer Science(all)
SDG 16 - Peace, Justice and Strong Institutions
topic Precedents retrieval
Rapid review
Automated
Theoretical Computer Science
Computer Science(all)
SDG 16 - Peace, Justice and Strong Institutions
description Silva, H., António, N., & Bacao, F. (2022). A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_5. Funding Information: This research was supported by a grant from the Portuguese Foundation for Science and Technology (“Fundação para a Ciência e a Tecnologia”) [grant number DSAIPA/DS/0116/2019].
publishDate 2022
dc.date.none.fl_str_mv 2022-09-13
2022-09-13T00:00:00Z
2024-02-17T01:31:54Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/144564
url http://hdl.handle.net/10362/144564
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-031-16473-6
0302-9743
PURE: 46626063
https://doi.org/10.1007/978-3-031-16474-3_5
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 13
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dc.publisher.none.fl_str_mv Springer, Cham
publisher.none.fl_str_mv Springer, Cham
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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