Download Free The Tree Of Legal Knowledge Book in PDF and EPUB Free Download. You can read online The Tree Of Legal Knowledge and write the review.

This book restores to view a masterpiece of beauty and legal scholarship, which has been lost for almost two hundred years. Produced anonymously in 1838, The Tree of Legal Knowledge is an elaborate visualization in five large colored plates of the law as stated in Sir William Blackstone’s Commentaries on the Laws of England. Intended as “an assistant for students in the study of law,” the study aid was not a simple diagram but a beautiful tree with each branch and twig labeled with legal terms and concepts from the Commentaries. Not for law students only, the original was also intended to be of use to the practicing attorney and educated gentleman “in consolidating his learning and forming an instructive and ornamental appendage to an office.” Although Blackstone’s Commentaries had been first published eighty years earlier, it remained the primary source for knowledge of English law and required reading for American law students. The Commentaries remain relevant today and are frequently cited by the U.S. Supreme Court as a source for the original understanding of legal rights and obligations at the time of American Independence. Despite its artistic beauty and academic significance, The Tree of Legal Knowledge had seemingly disappeared shortly after its publication. It is not included in the collection of any library, including the Library of Congress or in Yale University’s Blackstone Collection, the largest in the world. It is not listed in the comprehensive Bibliographical Catalog of William Blackstone, edited by Ann Jordan Laeuchli, published for the Yale Law Library in 2015. The present volume reproduces the only extant copy of The Tree of Legal Knowledge. It includes an introduction by the editor that places The Tree in historical context and identifies the anonymous author, an otherwise unknown lawyer. In addition, it reprints the original author’s introduction and “explanation of the branches,” both extensively annotated. This book restores this lost masterpiece to its proper place in legal history. The Tree is a beautiful—and accurate—depiction of English law as expounded in Blackstone’s Commentaries, the single most important book in the history of the common law.
The 22nd edition of the JURIX conference was held in Rotterdam on the 17th and 18th December and was hosted by the Erasmus University Rotterdam. While the conference was back to its country of origin, JURIX continues to attract a wide international audience. This year, the conference received submissions from all five continents. This clearly demonstrates the lively and growing interest for the highly interdisciplinary discipline of legal informatics. The selection of papers for this edition of JURIX covers a wide variety of topics in legal informatics, including contributions on established fields such as legal document management, argumentation, case based reasoning, dispute resolution, support for legal drafting and ontologies, to emerging areas such as regulatory compliance, normative multi-agent systems and game theory, as well as application areas, for example, fraud detection, legal tutoring systems and legal decision support systems.
Technological advances related to legal information, knowledge representation, engineering, and processing have aroused growing interest within the research community and the legal industry in recent years. These advances relate to areas such as computational and formal models of legal reasoning, legal data analytics, legal information retrieval, the application of machine learning techniques to different legal tasks, and the experimental evaluation of these systems. This book presents the proceedings of JURIX 2023, the 36th International Conference on Legal Knowledge and Information Systems, held from 18–20 December 2023 in Maastricht, the Netherlands. This annual conference has become recognized as an international forum where academics and professionals working at the intersection of law and artificial intelligence can exchange knowledge and experience. A total of 92 submissions were received for the conference, of which 18 were selected as long papers, 30 as short papers and 7 as demo papers following a rigorous review process. This represents an acceptance rate of around 20% for long papers (60% overall). Topics covered include formal approaches applied to various aspects of legal reasoning; machine learning and information retrieval methods applied to various natural language processing tasks; hybrid approaches to working on the frontier between symbolic and sub-symbolic methods; experimental inquiries into the interfaces between computational systems and legal systems; and network analysis in law. Providing a comprehensive overview of recent advances in the field, the book will be of interest to all those working at the intersection between law and AI.
In recent years, the application of machine learning tools to legally relevant tasks has become much more prevalent, and the growing influence of AI in the legal sphere has prompted the profession to take more of an interest in the explainability, trustworthiness, and responsibility of intelligent systems. This book presents the proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), held in Madrid, Spain, from 11 to 13 December 2019. Traditionally focused on legal knowledge representation and engineering, computational models of legal reasoning, and analyses of legal data, more recently the conference has also encompassed the use of machine learning tools. A total of 81 submissions were received for the conference, of which 14 were selected as full papers and 17 as short papers. A further 3 submissions were accepted as demo presentations, resulting in a total acceptance rate of 41.98%, with a competitive 25.5% acceptance rate for full papers. The 34 papers presented here cover a broad range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, and evidential reasoning, through classification of different types of text in legal documents and comparing similarities, to the relevance of judicial decisions to issues of governmental transparency. The book will be of interest to all those whose work involves the use of knowledge and information systems in the legal sphere.
This collection explores the remarkable impact and continuing influence of William Blackstone's Commentaries on the Laws of England, from the work's original publication in the 1760s down to the present. Contributions by cultural and literary scholars, and intellectual and legal historians trace the manner in which this truly seminal text has established its authority well beyond the author's native shores or his own limited lifespan. In the first section, 'Words and Visions', Kathryn Temple, Simon Stern, Cristina S Martinez and Michael Meehan discuss the Commentaries' aesthetic and literary qualities as factors contributing to the work's unique status in Anglo-American legal culture. The second group of essays traces the nature and dimensions of Blackstone's impact in various jurisdictions outside England, namely Quebec (Michel Morin), Louisiana and the United States more generally (John W Cairns and Stephen M Sheppard), North Carolina (John V Orth) and Australasia (Wilfrid Prest). Finally Horst Dippel, Paul Halliday and Ruth Paley examine aspects of Blackstone's influential constitutional and political ideas, while Jessie Allen concludes the volume with a personal account of 'Reading Blackstone in the Twenty-First Century and the Twenty-First Century through Blackstone'. This volume is a sequel to the well-received collection Blackstone and his Commentaries: Biography, Law, History (Hart Publishing, 2009).
Traditionally concerned with computational models of legal reasoning and the analysis of legal data, the field of legal knowledge and information systems has seen increasing interest in the application of data analytics and machine learning tools to legal tasks in recent years. This book presents the proceedings of the 34th annual JURIX conference, which, due to pandemic restrictions, was hosted online in a virtual format from 8 – 10 December 2021 in Vilnius, Lithuania. Since its inception as a mainly Dutch event, the JURIX conference has become truly international and now, as a platform for the exchange of knowledge between theoretical research and applications, attracts academics, legal practitioners, software companies, governmental agencies and judiciary from around the world. A total of 65 submissions were received for this edition, and after rigorous review, 30 of these were selected for publication as long papers or short papers, representing an overall acceptance rate of 46 %. The papers are divided into 6 sections: Visualization and Legal Informatics; Knowledge Representation and Data Analytics; Logical and Conceptual Representations; Predictive Models; Explainable Artificial Intelligence; and Legal Ethics, and cover a wide range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning, through information extraction from different types of text in legal documents, to ethical dilemmas. Providing an overview of recent advances and the cross-fertilization between law and computing technologies, this book will be of interest to all those working at the interface between technology and law.
This volume is a presentation of all methods of legal knowledge representation from the point of view of jurisprudence as well as computer science. A new method of automatic analysis of legal texts is presented in four case studies. Law is seen as an information system with legally formalised information processes. The achieved coverage of legal knowledge in information retrieval systems has to be followed by the next step: conceptual indexing and automatic analysis of texts. Existing approaches of automatic knowledge representations do not have a proper link to the legal language in information systems. The concept-based model for semi-automatic analysis of legal texts provides this necessary connection. The knowledge base of descriptors, context-sensitive rules and meta-rules formalises properly all important passages in the text corpora for automatic analysis. Statistics and self-organising maps give assistance in knowledge acquisition. The result of the analysis is organised with automatically generated hypertext links. Four case studies show the huge potential but also some drawbacks of this approach.
As with almost every other part of our daily lives, information technology is now indispensable in the legal sphere. The variety of applications has grown, keeping pace with developments in the wider field of artificial intelligence: logic and argument have been joined by statistical methods and data, and knowledge engineering has been enriched by machine learning. This book presents the papers delivered at the 29th International Conference on Legal Knowledge and Information Systems – JURIX 2016, held in Nice, France, in December 2016. From the 56 submissions received for the conference, 11 were selected for publication as full papers, 10 as short papers, and 10 as posters, which are included in the proceedings for the first time. The papers address a wide range of topics at the interface of Artificial Intelligence (AI) and Law, such as argumentation, norms and evidence, network science, information retrieval, and natural language processing. Many of the theories and technologies explored in the papers are drawn from real-life materials, including cases brought before the European Court of Human Rights, Dutch and Greek legal texts, and international investment agreements and contracts. Reflecting the many facets and the interdisciplinary character of AI and Law, the book will be of interest to all those whose work involves them in these fields.
The range of topics addressed in this volume is broader than in previous JURIX volumes. All the main legal functions are covered: legal drafting, legal negotiating, legal decision making and legal argumentation.
Artificial intelligence as applied to the legal domain has gained momentum thanks to the large, annotated corporate legal and case-law collections, human chats, and social media information now available in open data. Often represented in XML or other Semantic Web technologies, these now make it possible to use the AI theory developed by the JURIX community in over thirty years of research. Innovative machine and deep-learning techniques with which to classify legal texts and detect terms, principles, concepts, evidence, named entities, and rules are also emerging, and the last five years have seen a gradual increase in their practical application. This book presents papers from the 31st International Conference on Legal Knowledge and Information Systems (JURIX 2018), held in Groningen, the Netherlands, in December 2018. The support of the Dutch Foundation for Legal Knowledge Based Systems for the JURIX conference has transformed a domestic workshop into an international event, with theoretical contributions, applied work, demo prototypes, a hackathon, and a doctoral consortium. Of the 72 submissions received, 17 full papers and 11 short papers were selected for publication, representing an acceptance rate of approximately 38%. Machine learning for the legal domain prevails in the JURIX 2018 program, with traditional research mainstreams concerning legal reasoning and argumentation, natural-language processing, legal-text retrieval, and legal semantic modelling. An emerging topic is blockchain, which has graduated from the workshop area to the main program. The book offers an overview of the ways in which innovative information technologies are merging with legal theory, argumentation, and practice.