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Law Library Blog (August 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (August 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
No abstract provided.
Time Traveling With Timelines: Web Apps For Storytelling In Libraries, Sharon Bradley, Rachel S. Evans
Time Traveling With Timelines: Web Apps For Storytelling In Libraries, Sharon Bradley, Rachel S. Evans
Articles, Chapters and Online Publications
From online embeds to interactive displays, timelines can serve many purposes and tell powerful stories. At the University of Georgia’s Law Library we have teamed up with faculty and staff to bring history to life, engage students, and preserve scholarly and institutional milestones. Through trial and error we have found a variety of tools for creating timelines digitally. In this article we share our four favorite web-based applications for creating timelines including Tiki-Toki, TimeToast, Prezi and Piktochart.
A Time Lord, A Timeline And Legal Instruction, Rachel S. Evans, Sharon Bradley, Eleanor Lanier
A Time Lord, A Timeline And Legal Instruction, Rachel S. Evans, Sharon Bradley, Eleanor Lanier
Presentations
From online embeds to interactive displays, timelines can serve many purposes and tell powerful stories. In this session librarians team up with an archivist and a clinician to bring history to life, engage students, and preserve the scholarly and institutional milestones. A variety of tools for creating digital timelines and gathering content will be shared including TikiToki, TimeToast, and Piktochart. Comparisons will be given based on cost, technical limitations, collaborative potential, and general ease of use. Potential applications for timelines will also be shared in the form of examples including:
- a TimeToast embedded timeline tribute for individual faculty scholarship as …
From Decoder Rings To Deep Fakes: Translating Complex Technologies For Legal Education, Jason Tubinis, Rachel S. Evans
From Decoder Rings To Deep Fakes: Translating Complex Technologies For Legal Education, Jason Tubinis, Rachel S. Evans
Presentations
Technological developments are disrupting the practice of law” is a common refrain, but the last few years has seen some particularly complex pieces of technology become the hot new thing in legal tech. This session will look at blockchain, quantum computing, artificial intelligence, and ‘Deep Fakes’ as examples of how instructors can stay abreast of technological developments and inform themselves about their impacts in the legal profession. Then we will look at how to translate the complexities and jargon of these examples into lessons for for-credit courses, one-off informational sessions, or meetings with stakeholders.
Learning outcomes:
- Participants will be able …
Predicting Chapter 11 Bankruptcy Case Outcomes Using The Federal Judicial Center Idb And Ensemble Artificial Intelligence, Warren E. Agin, Gill Eapen
Predicting Chapter 11 Bankruptcy Case Outcomes Using The Federal Judicial Center Idb And Ensemble Artificial Intelligence, Warren E. Agin, Gill Eapen
Georgia State University Law Review
In this project, the authors obtained public data on over 100,000 Chapter 11 bankruptcy cases and used machine and deep-learning methodologies to explore whether models could be designed to predict Chapter 11 case outcomes. The data used was obtained from the Federal Judicial Center’s bankruptcy Integrated Database and included information about case filing dates, the court where the case was filed, the type of business entity, and basic information about assets and liabilities. Using this information, the authors initially sought to predict whether a particular case was dismissed, converted to another Chapter under the Bankruptcy Code, or closed with a …
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
Georgia State University Law Review
This paper surveys three basic legal-text analytic techniques—ML, network diagrams, and question answering (QA)—and illustrates how some currently available commercial applications employ or combine them. It then examines how well the text analytic techniques can answer legal questions given some inherent limitations in the technology. In more detail, ML refers to computer programs that use statistical means to induce or learn models from data with which they can classify a document or predict an outcome for a new case. Predictive coding techniques employed in e-discovery have already introduced ML from text into law firms. Network diagrams graph the relations between …
Legal Intelligence Through Artificial Intelligence Requires Emotional Intelligence: A New Competency Model For The 21st Century Legal Professional, Alyson Carrel
Georgia State University Law Review
The nature of legal services is drastically changing given the rise in the use of artificial intelligence and machine learning. Legal education and training models are beginning to recognize the need to incorporate skill building in data and technology platforms, but they have lost sight of a core competency for lawyers: problem-solving and decision-making skills to counsel clients on how best to meet their desired goals and needs. In 2014, Amani Smathers introduced the legal field to the concept of the T-shaped lawyer. The T-shaped lawyer stems from the concept of T-shaped professionals who have a depth of knowledge in …
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Georgia State University Law Review
Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor– examiner interaction to machine–human interactions. In response to automated patent drafting, automated office-action responses, “cloems” (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor–examiner relationship as a “patenting market,” economic principles suggest stronger efficiencies if both inventors and the USPTO have better …
Digital Pro Bono: Leveraging Technology To Provide Access To Justice, Kathleen Elliott Vinson, Samantha A. Moppett
Digital Pro Bono: Leveraging Technology To Provide Access To Justice, Kathleen Elliott Vinson, Samantha A. Moppett
St. John's Law Review
(Excerpt)
Part I of this Article explores the United States justice system’s failure to adequately serve all people irrespective of wealth and position. Next, Part II discusses the ABA’s call to leverage technology to increase access to justice. Part III explores ABA Free Legal Answers Online, the program that the ABA pioneered to help confront the justice gap in the United States. Subsequently, Part IV illustrates how law schools can leverage technology to increase access to justice for low-income communities while providing pro bono opportunities for attorneys and students in their state. This Part highlights Massachusetts as an example of …
Law Library Blog (February 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (February 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
No abstract provided.
Law Library Blog (January 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (January 2019): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
No abstract provided.