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Federal and state criminal justice systems use algorithmic risk assessment tools extensively. Much of the existing scholarship on this topic engages in norma
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Strong, S.I., Responsible Regulation of Artificial Intelligence in the Legal Profession Through A Split Bar: Implications for Legal Educators (July 17, 2025). Emory Legal Studies Research Paper, 79 Washington University Journal of Law and Policy __ (forthcoming 2025), Available at SSRN: https://ssrn.com/abstract=5355702 or http://dx.doi.org/10.2139/ssrn.5355702
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This chapter continues the analysis of anonymity and transparency, focusing on the socio-technical concepts of obfuscation and traceability. It heeds the impact of anonymity-enhancing strategies applied by different actors, and of investigative analytics tools
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Legal AI systems are increasingly being adopted by judicial and legal system deployers and providers worldwide to support a range of applications. While they of
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Bibliometric analyses are uncommon in German legal scholarship, a fact often attributed to disciplinary skepticism. However, this paper posits that a more funda
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Insights from Social Network Analysis reveal that the structure of the social network surrounding international courts is important for these courts' ability to
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The U.S. Government Publishing Office (GPO), has made hundreds of historic volumes of U.S. Supreme Court cases available dating from 1790–1991. These cases are published officially in the United States Reports and are now available on GPO’s GovInfo.
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Le droit et le renseignement affichent de prime abord leur opposition, si ce n’est leur contradiction : le droit repose sur une logique de transparence ; le renseignement est par essence secret. La rencontre des deux s’est néanmoins réalisée à la faveur d’un contexte marqué par l’apparition de...
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This book offers an interdisciplinary scientific study and ecosystem description of organizational and institutional mechanisms
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Natural Language Processing (NLP) is transforming legal firms by enhancing legal text analysis, legal document management, and judicial decision prediction. Conventional rule-based and statistical methods lack the contextual understanding, and scalability required for processing complex legal texts, while deep learning and transformer-based models have revolutionized advanced Legal Artificial Intelligence (LegalAI) technologies. Large Language Models (LLMs), including BERT, GPT, LLaMA, and domain-specific transformers like Legal-BERT and CaseLaw-BERT, have refined the state-of-art models in legal NLP tasks like legal text classification, legal text summarization, and judgment prediction. This study analyzes 40 selected journals and conference papers from 2017 to 2024, emphasizing the developing research interest in LLM-based legal applications. Major developments consist of hierarchical transformers, rhetorical role classification, and legal knowledge graphs that facilitate legal text parsing and logical inference. This paper spans intellectual breakthroughs with real-world applications by reviewing LLMs and Knowledge Graphs (KG) for legal NLP, providing key findings for scholars and experts working on AI-driven legal systems.
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Over its decades long history, the field of AI and Law has made significant progress developing and researching formal models of case based reasoning that are c
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Doctrinal research method is generally used in legal research. This method includes compilation, analysis, synthesis and opinion methods. The steps to be follow
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Artificial Intelligence (AI) is reshaping access to justice by offering cost-effective, scalable tools that can support legal decision-making and information de
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There is a deep scepticism concerning the idea that artificial intelligence (AI) should be used in the making of judicial decisions. There are normative risks s
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Retrieving the Right Law: Enhancing Legal Search with Style Translation
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As artificial intelligence systems gain autonomy and scale, trust based on oversight or performance is no longer sufficient. This paper introduces the Machine R
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Insights from Social Network Analysis reveal that the structure of the social network surrounding international courts is important for these courts' ability to
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The federal government's use of artificial intelligence to identify anonymous speakers online presents questions about the constitutionality of such actions und
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Recherche documentaire juridique : méthodologie - Édition 2025-2026 de Stéphane Cottin, Vincent De Briant, Audrey Zians, sur la librairie juridique Lgdj.fr
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Découvrez le podcast Les gardiens du droit par Cyril Marchan.Un podcast en 4 épisodes de France Culture...
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L'avènement d'Internet et du partage en ligne des connaissances a été une véritable révolution informationnelle, notamment pour les acteurs de l'open (...)...
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La présente contribution se propose d’explorer les implications de l’utilisation des grands modèles de langage (LLMs) dans l’analyse du discours juridique, en s’intéressant particulièrement à la fonction du contexte dans la production de sens par ces outils de traitement automatique du langage (TAL). Il apparaît qu’à certains égards, les LLMs ne comprennent pas les textes en termes de concepts stables, mais créent à partir des textes des objets mathématiques qui sont des produits directs du contexte. En confrontant des postulats théoriques liés à la linguistique, à l’informatique et au droit, nous cherchons à mettre en lumière les conséquences de l’utilisation de ces technologies pour analyser le discours juridique. La popularité grandissante de ces outils emporte en effet un certain nombre de défis méthodologiques, posant à partir d’une perspective nouvelle des questions relatives par exemple à la nature du langage juridique et au sens du discours juridique.
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La giurimetria, l'intelligenza artificiale (IA) e la giustizia predittiva sono argomenti che suscitano sempre più interesse in campo giuridico.
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With the increasing digitization of judicial proceedings, courts worldwide have assumed non-traditional responsibilities as “data governors” to manage the life
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