Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases

Wilver Auccahuasi; Lucas Herrera; Karin Rojas; Kitty Urbano; Brayan Peláez; Pedro Flores Peña; Yuly Montes Osorio; Grisi Bernardo; Madelaine Bernardo; Sandra Meza; Christian Ovalle; Francisco Hilario; Milner Liendo; Fernando Sernaque

Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases

Wilver Auccahuasi, Lucas Herrera, Karin Rojas, Kitty Urbano, Brayan Peláez, Pedro Flores Peña, Yuly Montes Osorio, Grisi Bernardo, Madelaine Bernardo, Sandra Meza, Christian Ovalle, Francisco Hilario, Milner Liendo, Fernando Sernaque

Ingeniería empresarial y de sistemas

Research output: Contribution to journal › Conference article › peer-review

Abstract

ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.

Original language	English
Pages (from-to)	48-54
Number of pages	7
Journal	CEUR Workshop Proceedings
Volume	3146
State	Published - 2022
Event	2022 Workshop on Artificial Intelligence, WAI 2022 - Virtual, Online, India Duration: 28 Jan 2022 → 29 Jan 2022

Keywords

Artificial Intelligence
cases
legal
methodology
protocol

Cite this

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title = "Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases",

abstract = "ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had {"}positive and negative{"} final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.",

keywords = "Artificial Intelligence, cases, legal, methodology, protocol",

author = "Wilver Auccahuasi and Lucas Herrera and Karin Rojas and Kitty Urbano and Brayan Pel{\'a}ez and Pe{\~n}a, {Pedro Flores} and Osorio, {Yuly Montes} and Grisi Bernardo and Madelaine Bernardo and Sandra Meza and Christian Ovalle and Francisco Hilario and Milner Liendo and Fernando Sernaque",

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year = "2022",

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TY - JOUR

T1 - Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases

AU - Auccahuasi, Wilver

AU - Herrera, Lucas

AU - Rojas, Karin

AU - Urbano, Kitty

AU - Peláez, Brayan

AU - Peña, Pedro Flores

AU - Osorio, Yuly Montes

AU - Bernardo, Grisi

AU - Bernardo, Madelaine

AU - Meza, Sandra

AU - Ovalle, Christian

AU - Hilario, Francisco

AU - Liendo, Milner

AU - Sernaque, Fernando

PY - 2022

Y1 - 2022

N2 - ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.

AB - ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.

KW - Artificial Intelligence

KW - cases

KW - legal

KW - methodology

KW - protocol

UR - http://www.scopus.com/inward/record.url?scp=85132278300&partnerID=8YFLogxK

M3 - Artículo de la conferencia

AN - SCOPUS:85132278300

SN - 1613-0073

VL - 3146

SP - 48

EP - 54

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2022 Workshop on Artificial Intelligence, WAI 2022

Y2 - 28 January 2022 through 29 January 2022

ER -

Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases

Abstract

Keywords

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