Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
 Your new post is loading...
Scoop.it!
From
www
Recherche documentaire juridique : méthodologie - Édition 2025-2026 de Stéphane Cottin, Vincent De Briant, Audrey Zians, sur la librairie juridique Lgdj.fr 
No comment yet.
Sign up to comment
Scoop.it!
Proof of Concept of Context-Aware-Legal Verification
Scoop.it!
This book constitutes the proceedings of the 14th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2025, held in Bangkok, Thailand, during August 25–27, 2025. The 11 full and 4 short papers included in the proceedings were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Legal Aspects and Semantic Approaches; Digital Transformation and E-government Inclusion; AI in E-Government; E-Government Cases.
Scoop.it!
Scoop.it!
This chapter examines how blockchain can revolutionize the legal sector by extending the capabilities of traditional centralized databases. It describes the
Scoop.it!
This legal analysis explores the profound challenges that Artificial Intelligence (AI) poses to established legal frameworks in the United States and globally.
Scoop.it!
By the early 1990s, numerous advantages of disseminating legal information electronically instead of in print had become widely recognized. These included the potential for faster and wider access and increased competition. To maximize those gains, the American Association of Law Libraries and American Bar Association recommended that the nation’s court systems adopt public (non-proprietary) systems of case citation that could function readily regardless of medium. A few had already headed down that path. In the years since, others have followed. This article traces the progress of that movement and describes a less conspicuous alternative more recently implemented in a number of U.S. jurisdictions. It surveys the current status of these reforms and examines: their recognition and use beyond the implementing jurisdiction, the gains realized by adopting jurisdictions, and the limited impact of the Uniform Electronic Legal Materials Act on these developments. It concludes with an exploration of the reasons why the shift to neutral case law citation has proven so halting and uneven.
Scoop.it!
From
papers
The integration of artificial intelligence (AI) and emerging technologies into judicial processes is reshaping the landscape of legal evidence, raising profound
Scoop.it!
From
papers
A brief history and bibliography of the first American law libraries, including lawyers’ personal law libraries, bar association or membership law li
Scoop.it!
From
papers
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
Scoop.it!
From
papers
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
Scoop.it!
From
papers
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
Scoop.it!
From
papers
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
|
Scoop.it!
Large language models struggle to answer legal questions that require applying detailed, jurisdiction-specific legal rules. Lawyers also find these types of que
Scoop.it!
Scoop.it!
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
Scoop.it!
Le 20 mars 2025, le Tribunal judiciaire de Marseille a rendu un jugement novateur (n° 23/00046). Il a admis pour la première fois en France, la valeur probatoire d’un ancrage d’empreintes numériques dans une blockchain publique, à la fois comme preuve d’antériorité (horodatage) et comme moyen d’établir la titularité de droits d’auteur. Cette décision s’inscrit […]
Scoop.it!
This Comment shows how large language models (LLMs) can help courts discern the "ordinary meaning" of statutory terms. Instead of relying on expert-he
Scoop.it!
Repici, Luke, Learning by Doing: The Importance of Limited and Thoughtful Generative AI use in the 1L Legal Writing Classroom (July 07, 2025). Available at SSRN: https://ssrn.com/abstract=5354233 or http://dx.doi.org/10.2139/ssrn.5354233
Scoop.it!
This paper critically evaluates the use of complex statistical models in legal research and advocates for a renewed appreciation of simple descriptive statis
Scoop.it!
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.
Scoop.it!
From
papers
Legal scholarship has long grappled with the challenge of making complex analysis accessible and compelling. While quantitative methods dominate much contempora
Scoop.it!
From
papers
Objectives: This study examines how specific attributes of Algorithmic Decision-Making Tools (ADTs), related to algorithm design and institutional governanc
Scoop.it!
From
papers
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
Scoop.it!
From
papers
Artificial intelligence (AI)-particularly generative AI-poses a number of unique challenges to the legal profession and legal education. As discussed in numerou
|
