https://www.journals.sapienzaeditorial.com/index.php/SIJIS/issue/feed 2026-07-31T19:25:04-03:00 Sapienza Grupo Editorial editor@sapienzaeditorial.com Open Journal Systems <p><strong>Sapienza: International Journal of Interdisciplinary Studies (SIJIS)</strong> aims to encourage scientific publication by national and international researchers committed to the democratization of science. It is a <strong>quarterly publication</strong>, with <strong>free access to content</strong>, which follows the "Best Practice Guidelines for Journal Editors" recommended by specialized institutions. Its interdisciplinary character allows a strong interaction between the applied social sciences, the human sciences that are its main<strong> focus and scope</strong>. However, contributions from other major areas of knowledge are welcome.</p> <p>The journal has no restrictions related to the author's academic degree or institutional affiliation fostering a <strong>diverse</strong> and <strong>inclusive</strong> scholarly landscape. Instead, the journal's focus is to contribute to the improvement and publication of original ideas and contributions to the scientific community. Currently, can be submitted for double-blind evaluation <strong>original articles</strong> and <strong>systematic literature reviews</strong>. Contributions must be in <strong>English</strong> and meet the formatting standards stipulated in the journal's guidelines.</p> <p>All accepted articles will be published in continuous publication mode.</p> <div style="display: flex; gap: 20px; font-family: Arial, sans-serif;"> <div style="background-color: #f5f5f5; padding: 15px; border-radius: 8px; width: 180px; text-align: center; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);"> <div style="color: #1f4e79; font-size: 18px;">Acceptance rate</div> <div style="color: #1f4e79; font-size: 24px; font-weight: bold; margin-top: 5px;">34%</div> </div> <div style="background-color: #f5f5f5; padding: 15px; border-radius: 8px; width: 180px; text-align: center; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);"> <div style="color: #1f4e79; font-size: 18px;">First decision</div> <div style="color: #1f4e79; font-size: 24px; font-weight: bold; margin-top: 5px;">68 days</div> </div> <div style="background-color: #f5f5f5; padding: 15px; border-radius: 8px; width: 180px; text-align: center; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);"> <div style="color: #1f4e79; font-size: 18px;">Language</div> <div style="color: #1f4e79; font-size: 24px; font-weight: bold; margin-top: 5px;">English</div> </div> </div> https://www.journals.sapienzaeditorial.com/index.php/SIJIS/article/view/e26012 2026-07-31T19:25:04-03:00 Jefferson Fabian Chiguano Vega chiguanovegajefferson@gmail.com Stephanie Mercedes Navas Balseca chiguanovegajefferson@gmail.com Israel Alexander Garces Granda chiguanovegajefferson@gmail.com Anyela Marianela Navia Pisco chiguanovegajefferson@gmail.com

<p>Artificial intelligence transforms the various spheres of society and the legal field is no exception. The study aims to conduct a comparative analysis of the level of AI implementation in the legal systems of Spain, Brazil, France, Argentina, Colombia, Greece and Slovenia. For this purpose, the methodology was used under the positivist paradigm: quantitative approach, descriptive and comparative character, non-experimental and cross-sectional design. Descriptive statistics, comparative matrix and Euclidean distance matrix, hierarchical cluster analysis (Ward's method), Multidimensional Scaling (MDS) were used. The main results showed that the implementation of artificial intelligence in legal aid presents a heterogeneous development among the countries analyzed. Spain, Brazil and France recorded the highest levels of adoption, while Argentina, Colombia, Greece and Slovenia showed intermediate and initial levels. The most developed applications corresponded to document management, case classification and administrative automation, while legal research and access to justice reflected a lower degree of implementation. The cluster analysis identified three groups of countries with similar characteristics and multidimensional scaling confirmed an adequate representation of similarity patterns (Stress = 0.0857; explained variation = 94.5%), demonstrating that AI adoption depends on the level of technological maturity and digital transformation strategies of each justice system.</p>

2026-07-31T00:00:00-03:00 Copyright (c) 2026 Jefferson Fabian Chiguano Vega, Stephanie Mercedes Navas Balseca, Israel Alexander Garces Granda, Anyela Marianela Navia Pisco