Insiders' Guide to Technology-Assisted Review (TAR)
Описание книги
Explore the game-changing technology that allows mobile learning to effectively reach K-12 students Mobile Learning: A Handbook for Developers, Educators and Learners provides research-based foundations for developing, evaluating, and integrating effective mobile learning pedagogy. Twenty-first century students require twenty-first century technology, and mobile devices provide new and effective ways to educate children. But with new technologies come new challenges—therefore, this handbook presents a comprehensive look at mobile learning by synthesizing relevant theories and drawing practical conclusions for developers, educators, and students. Mobile devices—in ways that the laptop, the personal computer, and netbook computers have not—present the opportunity to make learning more engaging, interactive, and available in both traditional classroom settings and informal learning environments. From theory to practice, Mobile Learning explores how mobile devices are different than their technological predecessors, makes the case for developers, teachers, and parents to invest in the technology, and illustrates the many ways in which it is innovative, exciting, and effective in educating K-12 students. Explores how mobile devices can support the needs of students Provides examples, screenshots, graphics, and visualizations to enhance the material presented in the book Provides developers with the background necessary to create the apps their audience requires Presents the case for mobile learning in and out of classrooms as early as preschool Discusses how mobile learning enables better educational opportunities for the visually impaired, students with Autism, and adult learners. If you're a school administrator, teacher, app developer, or parent, this topical book provides a theoretical, well-researched discussion of the pedagogical theory and mobile learning, as well as practical advice in setting up a mobile learning strategy.
Оглавление
Коллектив авторов. Insiders' Guide to Technology-Assisted Review (TAR)
Preface
Introduction – Evolution of TAR
CHAPTER 1. TAR: A Structural Analysis
1.1 Linear Review
1.2 TAR
1.2.1 Accelerated Review
1.2.2 Predictive Coding
1.2.2.1 MODELS
1.3 Hybrid Systems
1.4 Summary
CHAPTER 2. TAR and The Case Law
2.1 Introduction
2.2 Emerging Case Law
2.2.1 Judicial Recognition of TAR —Moore8
2.2.2 More Cooperation and Transparency
2.2.2.1 KLEEN PRODUCTS, PROGRESSIVE, AND BRIDGESTONE
2.2.3 Burden and Proportionality
2.2.3.1 BIOMET, FOSAMAX, AND INDEPENDENT LIVING CENTER OF SOUTHERN CALIFORNIA
2.2.3.2 JUDICIAL ENCOURAGEMENT OF TAR AS A WAY TO REDUCE BURDEN – CHEVRON AND HARRIS SUBCONTRACTING
2.2.3.2.1 Chevron
2.2.3.2.2 Harris
2.2.4 Hinterberger– Arguing about Cooperation
2.2.5 EORHB—sua sponte TAR (or not)
2.3 Conclusion
CHAPTER 3. The Economics of TAR
3.1 Overview
3.2 Defining Cost Metrics
3.2.1 Interrelationship of Electronic Discovery and TAR Economics
3.2.2 Pricing Models and Budgets
3.2.3 Cost Per Document
3.2.4 Pricing, Business Models and Cost Drivers
3.3 Comparison to Linear Review
3.3.1 First Pass
3.3.2 Second Level/Privilege Review
3.4 Comparison: TAR to TAR
3.5 Pilot Projects
3.6 Alternative Value Considerations
3.6.1 Multiple Languages
3.7 Hidden Costs and False Savings
3.8 Conclusion
Conclusion
APPENDIX
About the Contributors
Index
WILEY END USER LICENSE AGREEMENT
Отрывок из книги
For many years, courts and lawmakers have been struggling with the challenges that ever increasing volumes of data pose to the legal process. Exponentially increasing digital information is hardly a phenomenon that took us by surprise. In litigation and internal and regulatory investigations, as well as information management more broadly, it is largely corporate parties who are footing the bills.
Where finding the truth requires making sense of information and when there is so much of it, we need new tools that will help us to rise above the mostly irrelevant oceans of potentially discoverable information. Technology-Assisted Review, a potentially broad term that has been used to reference any use of technology that facilitates document review as part of the discovery process, has more recently been used (especially in its abbreviated form “TAR”) in a narrower sense related to predictive coding and various forms of review-enhancing analytics. In all of its various forms, TAR holds real promise for alleviating the problems associated with performing accurate searches of large volumes of data from a multitude of sources.
.....
One of the greatest advantages of data processing is that we learn a lot about the data set as it is staged for review. The extracted text and metadata for each document contain troves of information that can be used to help organize these files in a meaningful way. That effort can be as simple as grouping the documents by custodian or by search results, or made more complex by introducing some of the early TAR systems such as clustering or ranking the documents based on underlying content. These solutions are the natural progression of performing legal discovery in the digital age and represent the starting point for modern TAR in application.
TAR solutions, in all of the structural varieties outlined in Chapter 1, as well as during their early developmental states described above, still need to be executed through a workflow that involves trained professionals reviewing a collection of documents. Therefore, it is equally important to consider the review process alongside evolving technology to fully understand the evolutionary path.
.....