814 resultados para Legal process


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Professional Responsibility and Legal Ethics in Queensland offers a proven, practical approach to identifying and resolving ethical issues that may arise in daily legal practice in Queensland. It is an excellent resource for practitioners and students alike who need to navigate relevant legislation and understand legal ethics through accessible, problem-based scenarios. The introduction of the Australian Solicitors Conduct Rules and Barristers’ Rule 2011, and changes to enforcement mechanisms where breaches have occurred, make the Second Edition essential reading for solicitors, barristers and law students in Queensland. Diverse practice structures, the enactment of the new rules, and other legislative developments will affect lawyers’ work and the way they must interact with their clients, with each other and with the court. Providing detailed explanation and analysis of these changes, the authors explain the ethical and regulatory environment for Queensland lawyers as the national legal services market continues to evolve.

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First Asia Pacific Conference, AP-BPM 2013, Beijing, China, August 29-30, 2013. Selected Papers

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Recent information systems development using agile project management has yielded a 50% reduction in effort, together with significant improvements in organisational skills, productivity, quality and business satisfaction.

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This paper examines the use of connectionism (neural networks) in modelling legal reasoning. I discuss how the implementations of neural networks have failed to account for legal theoretical perspectives on adjudication. I criticise the use of neural networks in law, not because connectionism is inherently unsuitable in law, but rather because it has been done so poorly to date. The paper reviews a number of legal theories which provide a grounding for the use of neural networks in law. It then examines some implementations undertaken in law and criticises their legal theoretical naïvete. It then presents a lessons from the implementations which researchers must bear in mind if they wish to build neural networks which are justified by legal theories.

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In this paper we discuss the strengths and weaknesses of a range of artificial intelligence approaches used in legal domains. Symbolic reasoning systems which rely on deductive, inductive and analogical reasoning are described and reviewed. The role of statistical reasoning in law is examined, and the use of neural networks analysed. There is discussion of architectures for, and examples of, systems which combine a number of these reasoning strategies. We conclude that to build intelligent legal decision support systems requires a range of reasoning strategies.

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In this paper we provide an overview of a number of fundamental reasoning formalisms in artificial intelligence which can and have been used in modelling legal reasoning. We describe deduction, induction and analogical reasoning formalisms, and show how they can be used separately to model legal reasoning. We argue that these formalisms can be used together to model legal reasoning more accurately, and describe a number of attempts to integrate the approaches.

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The operation of the law rests on the selection of an account of the facts. Whether this involves prediction or postdiction, it is not possible to achieve certainty. Any attempt to model the operation of the law completely will therefore raise questions of how to model the process of proof. In the selection of a model a crucial question will be whether the model is to be used normatively or descriptively. Focussing on postdiction, this paper presents and contrasts the mathematical model with the story model. The former carries the normative stamp of scientific approval, whereas the latter has been developed by experimental psychologists to describe how humans reason. Neil Cohen's attempt to use a mathematical model descriptively provides an illustration of the dangers in not clearly setting this parameter of the modelling process. It should be kept in mind that the labels 'normative' and 'descriptive' are not eternal. The mathematical model has its normative limits, beyond which we may need to critically assess models with descriptive origins.

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Developments in medical science have sparked public debate about the legal and ethical implications of new technologies. Within these debates a number of distinct discourses are evident, including discourses about the positive and negative implications of technological advances, the influence of globalisation on regulatory choice, and the challenges of articulating common values in a pluralistic society. This article argues that an understanding of these discourses is an essential part of understanding the nature of contemporary regulatory dilemmas.

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The discovery by Watson and Crick of the structure of DNA is one of the great scientific discoveries. In the period since that discovery new areas of genetic research have opened up which hold out the hope of developing treatments or cures for many illnesses and diseases. Yet with these discoveries have also come an array of ethical and legal dilemmas about the use of genetic information and concerns about the potential for those with genetic diseases or conditions to be stigmatised and discriminated against. The discussion about the developments in genetic science has become increasingly, a debate about the use of genetic information within our society. Graeme Laurie’s book, Genetic Privacy: A Challenge to Medico-Legal Norms, guides the reader through the complexities of these debates by considering what we mean by privacy and asking whether our existing concepts are adequate to meet the challenges posed by the new genetics.

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Service processes such as financial advice, booking a business trip or conducting a consulting project have emerged as units of analysis of high interest for the business process and service management communities in practice and academia. While the transactional nature of production processes is relatively well understood and deployed, the less predictable and highly interactive nature of service processes still lacks in many areas appropriate methodological grounding. This paper proposes a framework of a process laboratory as a new IT artefact in order to facilitate the holistic analysis and simulation of such service processes. Using financial services as an example, it will be shown how such a process laboratory can be used to reduce the complexity of service process analysis and facilitate operational service process control.

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This presentation will explore how BPM research can seamlessly combine the academic requirement of rigor with the aim to impact the practice of Business Process Management. After a brief introduction into the research agendas as they are perceived by different BPM communities, two research projects will be discussed that illustrate how empirically-informed quantitative and qualitative research, combined with design science, can lead to outcomes that BPM practitioners are willing to adopt. The first project studies the practice of process modeling using Information Systems theory, and demonstrates how a better understanding of this practice can inform the design of modeling notations and methods. The second project studies the adoption of process management within organizations, and leads to models of how organizations can incrementally transition to greater levels of BPM maturity. The presentation will conclude with recommendations for how the BPM research and practitioner communities can increasingly benefit from each other.