Accepted papers for JURIX 2013: International Conference on Legal Knowledge and Information Systems

The list of accepted papers has been posted for JURIX 2013: International Conference on Legal Knowledge and Information Systems , to be held 11-13 December 2013 in Bologna:

• Radboud Winkels, Alexander Boer and Ivan Plantevin: Creating Context Networks in Dutch Legislation


• Guido Governatori, Ho-Pun Lam, Antonino Rotolo, Serena Villata and Fabien Gandon: Heuristics for Licenses Compostion


• Katie Atkinson, Trevor Bench-Capon, Henry Prakken and Adam Wyner: Argumentation Schemes for Reasoning with Dimensions


• Latifa Al-Abdulkarim, Katie Atkinson and Trevor Bench-Capon: From Oral Hearing to Opinion in The U.S. Supreme Court


• Adam Wyner, Wim Peters and Daniel Katz: A Case Study on Legal Case Annotation


• Yutaka Yoshida, Kozo Honda, Yuichi Sei, Hiroyuki Nakagawa, Yasuyuki Tahara and Akihiko Ohsuga: Towards Semi-Automatic Identification of Functional Requirements in Legal Texts for Public Administration


• Clara Smith, Antonino Rotolo and Giovanni Sartor: Reflex Responsibility of Agents


• Lorenzo Bacci, Enrico Francesconi and Maria Teresa Sagri: A Proposal for Introducing the ECLI Standard in the Italian Judicial Documentary System


• Daniel Krasner and Ian Langmore: Flexible Processing and Classification for eDiscovery


• Charlotte Vlek, Henry Prakken, Silja Renooij and Bart Verheij: Unfolding Crime Scenarios with Variations: A Method for Building a Bayesian Network for Legal Narratives


• Henry Prakken and Giovanni Sartor: Formalising arguments about norms


• Tingting Li, Tina Balke, Marina De Vos, Julian Padget and Ken Satoh: Legal Conflict Detection in Interacting Legal Systems


• Tho Thi Ngoc Le, Minh Le Nguyen and Akira Shimazu: Unsupervised Keyword Extraction for Japanese Legal Documents


• Orlando Conetta and Burkhard Schafer: LKIF in Commercial Legal Practice: Transaction Configuration from Eurobonds to Copyright


• Michał Araszkiewicz: Towards Systematic Research on Statutory Interpretation in AI and Law


• Kevin Ashley and Vern Walker: From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study


• Adeline Nazarenko, Florence Amardeilh, Danièle Bourcier, Hacene Cherfi, Charles-Henry Dubail, Alain Garnier, Sylvie Guillemin-Lanne, Nada Mimouni, Eve Paul, Sylvie Salotti, Marjorie Seizou, Sylvie Szulman and Haïfa Zargayouna: The Légilocal project: The local law simply shared


• Alan Buabuchachart, Katherine Metcalf, Nina Charness and Leora Morgenstern: Classification of Regulatory Paragraphs by Illocutionary Point, Reference Structure, and Regulation Type


• Giuseppe Contissa, Migle Laukyte, Giovanni Sartor and Hanna Schebesta: Assessing Liability with Argumentation Maps: An Application in Aviation Law


• Nada Mimouni, Sylvie Salotti, Adeline Nazarenko and Eve Paul: Modeling Collections of French Local Administration Documents


• Gaia Arosio, Giuliana Bagnara, Nicola Capuano, Elisabetta Fersini and Daniele Toti: Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems


• Padmaja Sasidharan, Claire Henderson, Graeme Lockwood, Andrew Ji Jones and Elaine Brohan: User Centered Evaluation of EQUALS, a Rule-based Legal Decision-aid

For abstracts or full text of papers, please contact the authors.

HT Bart Verheij

Filed under: Applications, Conference Announcements, Technology developments, Technology tools Tagged: International Conference on Legal Knowledge and Information Systems, JURIX, JURIX 2013, Legal expert systems, Legal informatics conferences, Legal online dispute resolution, Modeling legal rules, Online dispute resolution systems



via Legal Informatics Blog http://legalinformatics.wordpress.com/2013/10/04/accepted-papers-for-jurix-2013-international-conference-on-legal-knowledge-and-information-systems/

Small Firm Email Etiquette: 5 Rules to Follow

Ah, email etiquette. As the professional bunch that we are, you wouldn't think that attorneys would need to know what etiquette to abide by when it comes to something as obvious as crafting an email, right? Wrong. Because much like...



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via Strategist http://blogs.findlaw.com/strategist/2013/10/small-firm-email-etiquette-5-rules-to-follow.html

What Effect Will Big Data (Tracking Case Outcomes) Have on You?

Remember the myth of a "permanent record" from elementary school? What if that myth was a reality, it tracked your legal career, it was easily accessible to the public, and it cataloged every single case you ever handled? Scary thought,...



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via Strategist http://blogs.findlaw.com/strategist/2013/10/what-effect-will-big-data-tracking-case-outcomes-have-on-you.html

Shutdown: The Skinny for Federal Courts, Cases, and Counselors

Whether you blame the donkeys or the elephants, this is not where anyone wants to be. With Congress's failures comes a federal shutdown. Some employees will be furloughed. Others will work for free, and possibly be paid later. Some facilities...



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via Strategist http://blogs.findlaw.com/strategist/2013/10/shutdown-the-skinny-for-federal-courts-cases-and-counselors.html

If Your Firm is Offering Health Care: 3 Things to Know Under Obamacare

Is your small firm offering health care under Obamacare? While the new Obamacare mandates may not necessarily require your firm to offer health insurance (it's only required for those employers with 50 full-time employees or more), you may decide that...



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via Strategist http://blogs.findlaw.com/strategist/2013/10/if-your-firm-is-offering-health-care-3-things-to-know-under-obamacare.html

Wyner and Governatori: Translating Regulatory Rules from Natural Language to Defeasible Logic

Dr. Adam Wyner of the University of Aberdeen and Dr. Guido Governatori of NICTA have posted A Study on Translating Regulatory Rules from Natural Language to Defeasible Logic , a paper presented in the special track on Human-Rules at RuleML 2013: The 7th International Web Rule Symposium, held 11-13 July 2013, in Seattle, Washington, USA.

Here is the abstract:

Legally binding regulations are expressed in natural language. Yet, we cannot formally or automatically reason with regulations in that form. Defeasible Logic has been used to formally represent the semantic interpretation of regulations; such representations may provide the abstract specification for a machine-readable and processable representation as in LegalRuleML. However, manual translation is prohibitively costly in terms of time, labour, and knowledge. The paper discusses work in progress using the state-of-the-art in automatic translation of a sample of regulatory clauses to a machine readable formal representation and a comparison to correlated Defeasible Logic representations. It outlines some key problems and proposes tasks to address the problems.

HT Adam Wyner

Filed under: Applications, Articles and papers, Technology developments Tagged: Adam Wyner, Automatic markup of regulations in LegalRuleML, Automatic markup of regulations in RuleML, Automatic translation of legal rules to Defeasible Logic, Automatic translation of regulations to Defeasible Logic, Automatic translation of regulations to Defeasible Logic representation, Automatic translation of statutes to Defeasible Logic, Defeasible logic, Defeasible logic and law, Guido Governatori, International Web Rule Symposium, Legal defeasible reasoning, Legal natural language processing, LegalRuleML, Legislative information systems, Modeling legal defeasible reasoning, Modeling legal rules, Modeling regulations, Natural language processing and law, Regulatory information systems, RuleML, RuleML 2013



via Legal Informatics Blog http://legalinformatics.wordpress.com/2013/10/01/wyner-and-governatori-translating-regulatory-rules-from-natural-language-to-defeasible-logic/

Blackman: The Path of Big Data and the Law

Professor Josh Blackman of South Texas College of Law has posted The Path of Big Data and the Law , a chapter in the forthcoming book entitled Big Data and the Law (West Academic Press, 2014).

Here is the abstract:

Advances in artificial intelligence are transforming many aspects of our society, from Google’s autonomous cars to IBM’s Watson defeating the Jeopardy! world champion. The legal profession, as well, is evolving from today’s time-consuming, customized labor-intensive legal market to tomorrow’s on-demand, commoditized legal services market. Today, the legal services industry is standing at the dawn of what Professor Larry Ribstein referred to as Law’s Information Revolution. The promise of this revolution is the intersection, if not the collision, of the power of big data, and the law.

This essay opens the first chapter in this process, and sets forth an agenda of issues to consider as the intersection between law, technology, and justice merges. First, I break down the role of the lawyer, and posit how these familiar tasks can be automated. Next, I explore the ethical, jurisprudential, and regulatory implications of algorithms offering legal services. I conclude by offering a sketch of what the law offices of Robot, Esq. will be like.

Filed under: Applications, Articles and papers, Chapters, Technology developments, Technology tools Tagged: Algorithms in law practice, Automation of legal services, Big Data and the Law, Josh Blackman, Law practice innovation, Law practice technology, Legal algorithms, Legal big data, Legal services innovation, Robot Esq.



via Legal Informatics Blog http://legalinformatics.wordpress.com/2013/10/01/blackman-the-path-of-big-data-and-the-law/