The use of AI in eDiscovery implicates several ethical concerns. The ABA Model Rules of Professional Conduct, versions of which have been adopted by 49 of the 50 U.S. states, highlight some of these issues. Model Rule 1.1 and its…
A key consideration when selecting AI technology for use in eDiscovery is to ensure that the purpose of the AI tool matches the desired results. All artificial intelligence tools are narrowly tailored to solve specific challenges. For example, most existing…
AI can offer significant advantages over the manual execution of tasks, including cost and time savings, increased efficiency, and greater consistency. Cost and time savings can be achieved by reducing the need for time-consuming human decision making. In addition, computers…
a. Ranking, Classification, and Review of ESI In litigation, the volume and diversity of text-based data and the cost of reviewing that data manually has quickly accelerated the use of cutting-edge techniques. One common use of AI is to segregate…
a. Clustering Clustering is an example of unsupervised machine learning. The purpose of clustering is to group “similar” items together, which allows users to recognize the characteristics or topics that make them similar. This allows users to learn something about…
Artificial Intelligence, or “AI,” refers to the capability of machines to mimic aspects of human intelligence, such as problem solving, reasoning, discovering meaning, generalizing, predicting, or learning from past experience. AI includes both unsupervised and supervised machine learning, but it…
This paper is dedicated to the memory of David Kittrell, a long-time pioneer and contributor in the field of eDiscovery and an early member of the drafting team for this paper. David passed away in September 2020 and will be…
Version 1, Now Superseded, is archived below. Public comments were accepted for Version 2 through March 1, 2023 and the team will be releasing the final soon. Please submit comments to info@edrm.net. Background on the project: For background on the…
EDRM JOBS GUIDE EDRM Jobs Guide with six phases: Needs Assessment Job Benchmarking Talent Acquisition Strategy Interviewing & Selection On-Board Training Ongoing Retention EDRM SEARCH GUIDE During the discovery phase of litigation, parties to a dispute must take appropriate, reasonable steps…
2017 SURVEY BY EXTERRO, BDO, AND EDRM FINDS MORE LEGAL DEPARTMENTS MOVING TO BRING E-DISCOVERY SERVICES IN-HOUSE Download the Report INTRODUCTION Control, in and of itself, isn’t a positive thing. But knowing what needs to be controlled in precise ways…
EDRM’s Technology Assisted Review (TAR) Guidelines aim to objectively define and explain technology-assisted review for members of the judiciary and the legal profession. The document aims to provide a wide audience with an authoritative and clear understanding of the reasons to…
USEFUL RESOURCES Following are data privacy resources that are freely available online; their presence here does not imply endorsement by EDRM. To suggest additional resources, please email Info@EDRM.net. DLA Piper began publishing a compendium of international data privacy law in 2012,…