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A brief history and bibliography of the first American law libraries, including lawyers’ personal law libraries, bar association or membership law li
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Munir, Bakht, Evaluating Ai in Legal Operations: A Comparative Analysis of Accuracy, Completeness, and Hallucinations in Chatgpt-4, Copilot, Deepseek, Lexis+ Ai, and Llama 3 (June 30, 2025). International Journal of Legal Information , Available at SSRN: https://ssrn.com/abstract=5331771 or http://dx.doi.org/10.2139/ssrn.5331771
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This article explores the integration of artificial intelligence in modern courts, with a focus on the Indian judiciary. It evaluates tools like SUPACE and SUVA
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A growing body of research has explored the impact of social media activity on citation counts in the natural and social sciences. Using a novel dataset on Twit
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Hans Kelsen's extensive reliance on the story of Jesus's trial before the Roman Governor Pontius Pilate has always been baffling. Why would a legal theorist, wh
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The standard forms of of constitutional argument--the modalities--are central to one of the most important approaches to constitutional interpretation: co
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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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Legal judgment documents are typically lengthy, complex, and filled with domain-specific language. Existing summarization methods often struggle to capture the essential legal reasoning, frequently omitting critical details such as the applicable law and the logical connection between facts and outcomes-resulting in summaries that lack interpretability and coherence. Recent advances in large language models (LLMs) have shown strong capabilities in multi-step reasoning and language generation, making them a promising foundation for tackling the challenges of legal summarization. However, their potential remains underutilized in the legal domain due to the need for explicit legal logic and structured inference. To address this issue, we propose a novel summarization framework based on judicial syllogism using large language models (LLMs). Specifically, we leverage the large language model guiding it explicitly to emulate classical judicial reasoning: extracting the major premise (applicable legal provisions), the minor premise (case-specific facts), and finally deducing the conclusion (judgment outcome). This structured reasoning is operationalized through carefully designed prompt engineering and fine-tuning techniques, enabling the model to reason step-by-step like a human judge. We evaluate our proposed method on two judicial summarization datasets. Experimental results demonstrate that our judicial syllogism approach achieves competitive performance compared to several strong baseline LLMs. Ablation studies further verify that each component (law, facts, conclusion) of the judicial syllogism contributes meaningfully to the summarization quality. Our findings clearly indicate that embedding explicit judicial syllogistic reasoning significantly enhances the accuracy and logical coherence of legal text summarization.
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Legal scholarship has long grappled with the challenge of making complex analysis accessible and compelling. While quantitative methods dominate much contempora
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Objectives: This study examines how specific attributes of Algorithmic Decision-Making Tools (ADTs), related to algorithm design and institutional governanc
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The service of judicial documents is fundamental to ensuring access to justice, as outlined in Article 47(2) of the Charter of Fundamental Rights. This paper ex
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Artificial intelligence (AI)-particularly generative AI-poses a number of unique challenges to the legal profession and legal education. As discussed in numerou
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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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