A Rapid Semi-automated Literature Review on Legal Precedents Retrieval

Hugo Silva; Nuno António; Fernando Bacao

doi:10.1007/978-3-031-16474-3_5

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval

Hugo Silva, Nuno António, Fernando Bacao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

130 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 language	English
Title of host publication	Progress in Artificial Intelligence
Subtitle of host publication	21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings
Editors	Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha
Publisher	Springer, Cham
Chapter	5
Pages	53-65
Number of pages	13
ISBN (Electronic)	978-3-031-16474-3
ISBN (Print)	978-3-031-16473-6
DOIs	https://doi.org/10.1007/978-3-031-16474-3_5
Publication status	Published - 13 Sept 2022

Publication series

Name	Lecture Notes in Artificial Intelligence
Volume	13566
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Precedents retrieval
Rapid review
Automated

Access to Document

10.1007/978-3-031-16474-3_5

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval_Final_Author_VersionAccepted author manuscript, 585 KBLicence: CC BY-NC

https://link.springer.com/10.1007/978-3-031-16474-3_5

Cite this

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

Silva, Hugo ; António, Nuno ; Bacao, Fernando. / A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings. editor / Goreti Marreiros ; Bruno Martins ; Ana Paiva ; Bernardete Ribeiro ; Alberto Sardinha. Springer, Cham, 2022. pp. 53-65 (Lecture Notes in Artificial Intelligence).

@inproceedings{4b00b5a4219e445cadd178b4a8178f10,

title = "A Rapid Semi-automated Literature Review on Legal Precedents Retrieval",

abstract = "Precedents constitute the starting point of judges{\textquoteright} 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.",

keywords = "Precedents retrieval, Rapid review, Automated",

author = "Hugo Silva and Nuno Ant{\'o}nio and Fernando Bacao",

note = "info:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA\%2FDS\%2F0116\%2F2019/PT\# https://doi.org/10.54499/DSAIPA/DS/0116/2019\# Silva, H., Ant{\'o}nio, 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 (“Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia”) [grant number DSAIPA/DS/0116/2019].",

year = "2022",

month = sep,

day = "13",

doi = "10.1007/978-3-031-16474-3\_5",

language = "English",

isbn = "978-3-031-16473-6",

series = "Lecture Notes in Artificial Intelligence",

publisher = "Springer, Cham",

pages = "53--65",

editor = "Goreti Marreiros and Bruno Martins and Ana Paiva and Bernardete Ribeiro and Alberto Sardinha",

booktitle = "Progress in Artificial Intelligence",

}

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. Lecture Notes in Artificial Intelligence, vol. 13566, Springer, Cham, pp. 53-65. https://doi.org/10.1007/978-3-031-16474-3_5

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. / Silva, Hugo ; António, Nuno ; Bacao, Fernando.
Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings. ed. / Goreti Marreiros; Bruno Martins; Ana Paiva; Bernardete Ribeiro; Alberto Sardinha. Springer, Cham, 2022. p. 53-65 (Lecture Notes in Artificial Intelligence; Vol. 13566).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Rapid Semi-automated Literature Review on Legal Precedents Retrieval

AU - Silva, Hugo

AU - António, Nuno

AU - Bacao, Fernando

N1 - info:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0116%2F2019/PT# https://doi.org/10.54499/DSAIPA/DS/0116/2019# 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].

PY - 2022/9/13

Y1 - 2022/9/13

N2 - 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.

AB - 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.

KW - Precedents retrieval

KW - Rapid review

KW - Automated

UR - https://www.scopus.com/pages/publications/85138689316

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000869745400005

U2 - 10.1007/978-3-031-16474-3_5

DO - 10.1007/978-3-031-16474-3_5

M3 - Conference contribution

SN - 978-3-031-16473-6

T3 - Lecture Notes in Artificial Intelligence

SP - 53

EP - 65

BT - Progress in Artificial Intelligence

A2 - Marreiros, Goreti

A2 - Martins, Bruno

A2 - Paiva, Ana

A2 - Ribeiro, Bernardete

A2 - Sardinha, Alberto

PB - Springer, Cham

ER -

Silva H , António N , Bacao F. A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In Marreiros G, Martins B, Paiva A, Ribeiro B, Sardinha A, editors, Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings. Springer, Cham. 2022. p. 53-65. (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-031-16474-3_5

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval

Abstract

Publication series

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this