Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)

[Purpose] To analyzethe admissibility of AI-generated evidence in money laundering cases in Mexico, with an emphasis on how this type ofevidence might be evaluated underexisting SCJNresolutions.[Methodology/approach/design]Thisresearchusesa qualitativemethodology, utilizing a comprehensive lit...

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Main Author: Patricia Margarita Sanchez Reyes
Format: Article
Language:English
Published: Universidade de Brasília 2025-05-01
Series:Revista de Direito, Estado e Telecomunicações
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Online Access:https://periodicos.unb.br/index.php/RDET/article/view/54403
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author Patricia Margarita Sanchez Reyes
author_facet Patricia Margarita Sanchez Reyes
author_sort Patricia Margarita Sanchez Reyes
collection DOAJ
description [Purpose] To analyzethe admissibility of AI-generated evidence in money laundering cases in Mexico, with an emphasis on how this type ofevidence might be evaluated underexisting SCJNresolutions.[Methodology/approach/design]Thisresearchusesa qualitativemethodology, utilizing a comprehensive literature review of the SCJN’s judicial resolutionsregarding evidence in money laundering cases. While nocases involving AI-generated evidence were found, the researchexaminescurrent legalprinciples to anticipatehow suchevidence might be evaluatedundertheMexicanlegal system.[Findings]Theresearch showsthat, althoughthe SCJN has not yet addressedcases involving AI-generated evidence, existing legal guidelines provide a foundationfor determining itsadmissibility. These findings provide a structured approach for the potential future evaluation of AI evidence in Mexican courts.[Practical implications]The findingsof this researchcan helplegal professionals, including judges and lawyers, understand how AI-generated evidence canbe evaluatedunderthe current legal framework. Thesefindings will help shapefuture legal practicesregardingthe use ofAI inthe collection ofevidence inmoney laundering cases.[Originality/value]This paper is amongthe firstto explorethe admissibility of AI-generated evidence within the Mexican legal system, providing valuable insights for legal professionals and policymakers on how AI technology aligns with legal evidentiary standards in money launderingcases.
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spelling doaj-art-7d5bb8a22b9647edb79fb6ba5a1379622025-08-20T03:44:04ZengUniversidade de BrasíliaRevista de Direito, Estado e Telecomunicações1984-97291984-81612025-05-011718611610.26512/lstr.v17i1.54403Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)Patricia Margarita Sanchez Reyes0https://orcid.org/0009-0008-9341-6983Escuela de Gobierno y Trasformación Pública del Tecnológico de Monterrey[Purpose] To analyzethe admissibility of AI-generated evidence in money laundering cases in Mexico, with an emphasis on how this type ofevidence might be evaluated underexisting SCJNresolutions.[Methodology/approach/design]Thisresearchusesa qualitativemethodology, utilizing a comprehensive literature review of the SCJN’s judicial resolutionsregarding evidence in money laundering cases. While nocases involving AI-generated evidence were found, the researchexaminescurrent legalprinciples to anticipatehow suchevidence might be evaluatedundertheMexicanlegal system.[Findings]Theresearch showsthat, althoughthe SCJN has not yet addressedcases involving AI-generated evidence, existing legal guidelines provide a foundationfor determining itsadmissibility. These findings provide a structured approach for the potential future evaluation of AI evidence in Mexican courts.[Practical implications]The findingsof this researchcan helplegal professionals, including judges and lawyers, understand how AI-generated evidence canbe evaluatedunderthe current legal framework. Thesefindings will help shapefuture legal practicesregardingthe use ofAI inthe collection ofevidence inmoney laundering cases.[Originality/value]This paper is amongthe firstto explorethe admissibility of AI-generated evidence within the Mexican legal system, providing valuable insights for legal professionals and policymakers on how AI technology aligns with legal evidentiary standards in money launderingcases.https://periodicos.unb.br/index.php/RDET/article/view/54403ai-generated evidencemoney launderingscjn resolutionslegal frameworkmexican law
spellingShingle Patricia Margarita Sanchez Reyes
Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
Revista de Direito, Estado e Telecomunicações
ai-generated evidence
money laundering
scjn resolutions
legal framework
mexican law
title Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
title_full Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
title_fullStr Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
title_full_unstemmed Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
title_short Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
title_sort leveraging ai evidence in money laundering cases in mexico its rules of evidence according to scjn s resolutions
topic ai-generated evidence
money laundering
scjn resolutions
legal framework
mexican law
url https://periodicos.unb.br/index.php/RDET/article/view/54403
work_keys_str_mv AT patriciamargaritasanchezreyes leveragingaievidenceinmoneylaunderingcasesinmexicoitsrulesofevidenceaccordingtoscjnsresolutions