Discovery Case Workshop PDF Download

Author: Minnesota Trial Lawyers Association
Publisher:
ISBN:
Category : Discovery (Law)
Languages : en
Pages :

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Author:
Publisher:
ISBN:
Category : Civil law
Languages : en
Pages : 102

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Author: Edwin J. Wesely
Publisher:
ISBN:
Category : Discovery (Law)
Languages : en
Pages : 46

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Author: Petr Alekseevich Kropotkin (kni︠a︡zʹ)
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 494

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Author: James W. McElhaney
Publisher:
ISBN:
Category : Depositions
Languages : en
Pages : 241

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Author: James W. McElhaney
Publisher:
ISBN:
Category : Depositions
Languages : en
Pages : 241

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Author: James W. McElhaney
Publisher:
ISBN:
Category : Depositions
Languages : en
Pages : 220

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Author: Danilo Ardagna
Publisher: Springer Science & Business Media
ISBN: 3642003281
Category : Business & Economics
Languages : en
Pages : 725

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Constitutes the refereed post-workshop proceedings of 9 international workshops held in Milano, Italy, in conjunction with the 6th International Conference on Business Process Management, BPM 2008, in September 2008.

Author: Steve Donweber
Publisher: Createspace Independent Publishing Platform
ISBN: 9781533580276
Category :
Languages : en
Pages : 472

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This new edition of Cases and Materials on Discovery Practice in the Federal Courts contains detailed analysis of the 2015 amendments to the Federal Rules of Civil Procedure as they pertain to discovery. This edition also includes a sampling of the latest cases on proportionality, discovery of social media information, discovery from mobile devices, and the preservation of ESI and the imposition of sanctions under new Rule 37(e). *** Discovery is the voluntary exchange of information between the parties during the course of litigation. It is commonly accepted now, but it is not an ancient practice by any means. Rather, it is only since 1938, with the adoption of the Federal Rules of Civil Procedure, that there has been liberal discovery in the federal courts. Prior to that time, discovery in the federal courts was severely limited, and, even as the federal rules were being drafted in the mid-1930s, many members of the bench and bar very much wanted to keep it that way. They feared (perhaps rightly) that any liberalization of discovery would result in the proliferation of the much dreaded "fishing expedition," where a party was permitted to poke around willy-nilly in the opposing party's files. Indeed, the "fishing expedition" bugaboo had haunted the profession for generations, effectively preventing any loosening of the restrictions on discovery. The problem, however, for the anti-"fishing expedition" crowd at least, was that the structure of the new rules almost mandated liberal discovery. It was a major goal of the rules' drafters to shift the pleadings phase of the litigation away from the establishment of facts and the narrowing of issues (as had been the purposes of the pleadings at common law) toward the simple provision of "notice" of the parties' claims and defenses. This shift had profound ramifications. As the new rules restricted the pleadings to the narrow role of providing notice, there arose the need for another mechanism to facilitate factual development and narrowing of issues. The mechanism the drafters chose was liberal discovery, and it was to be controlled by Rules 26-37. (From the Introduction ...)

Author: Berka, Petr
Publisher: IGI Global
ISBN: 1605662194
Category : Computers
Languages : en
Pages : 464

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The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.