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UF Law E-Discovery Project
Executive Director, ICAIR and the UF Law E-Discovery Project
About The UF Law E-Discovery Project
The UF Law E-Discovery Project is a multidisciplinary endeavor to support the civil litigation process through electronic discovery law courses, research, the development of information retrieval method and tools, and offering electronic discovery skills training for practicing attorneys and litigation support professionals through public conferences and continuing legal educational offerings. The UF Law E-Discovery Project is supported by generous contributions from ICAIR, The International Center for Automated Research at the University of Florida Levin College of Law.
Electronic Discovery Conference for the Small and Medium Case
Register below to watch the entire conference online.
Random Sampling Demonstration Video
The UF Law E-Discovery Project presents a demonstration video for the random sampler that is being developed in conjunction with the University of Florida’s Department of Computer and Information Science and Engineering (CISE). Click the play button on the video below to see a demonstration.
The UF Law E-Discovery Project is currently engaged in four projects:
Summer Skills Program
As one of its ICAIR initiatives, UF Law is partnering with EDRM, an e-discovery practical skills “think tank” that originated the well-known EDRM diagram and a set of e-discovery Practice Guides, and Bryan University, a synchronous real-time on-line university based in Phoenix, Arizona, to offer a 4-week summer on-line e-discovery course that will meet in a real-time, live, e-delivered class for 2 hours four nights each week.
The program focuses on hands-on litigation skills using advanced e-discovery software hosted in Bryan University’s E-Discovery Lab for Software, Simulation and Applications (ELSSA) where students will have the opportunity to work in-class and out-of-class on simulated e-discovery projects and assignments. The curriculum will be taught by leading e-discovery practitioners with support from preeminent e-discovery software providers. More information about the course is available at http://bryanuniversity.edu/e-discovery-summer-program.
Advanced E-Discovery Course
Search and review is a currently a revolution within a revolution. For the past six years, every term UF has offering a basic course on electronic discovery, this Spring semester UF Law expands its course offering to include a specialized course on the types of search and review that are gaining increased prominence in electronic discovery.
Additionally, the new Search and Review Course is part of the “skills” component of the Law Schools offering and will feature hands on practice and exercises with actual data and the most advanced contemporary software. Students will be exposed to the product suite offered by Catalyst Secure, a leading e-discovery vendors and will develop advanced search and review project management skills utilizing the Catalyst suite of products.
This unique and advanced course is taught by William Hamilton, a nationally recognized leader in electronic discovery education and business litigation, and by John Tredennick, the Founder and CEO of Catalyst.
The UF Law E-Discovery Project teamed up with EDRM to offer an online Conference that addressed e-discovery challenges of the medium and small case. The full recording of the Conference is available online.
National and Florida e-discovery experts discussed how to overcome the e-discovery challenges of the routine general jurisdiction cases that now normally involve more digital data and information than the mega cases of just a few years ago.
This Conference was supported by a grant from ICAIR and featured demonstrations of e-discovery tools and software. Attendees will be eligible for 11.5 CLE credits.
The UF Law e-Discovery project has joined with the University of Florida’s Department of Computer and Information Science and Engineering (CISE) to design, create and develop e-discovery tools and algorithms for the everyday practitioner in small and medium sized cases. This E-Discovery Toolkit is aimed at providing quick and easy access to up-rising machine learning (“predictive coding”) technologies and sampling technologies to improve the productivity and to control the quality of the document review process.