Modern TAR Solutions – Considerations for selecting the right approach

By February 5, 2021August 19th, 2021No Comments

Technology-assisted review refers to techniques that involve the use of technology to predict the decision a human expert would make about a document. Because it has evolved over time, TAR often comes with a version number – TAR 1.0, TAR 2.0, and more recently, TAR 3.0.  While some are inclined to advocate for the superiority of a single approach, in fact, each version has its merits and place. Understanding the underlying process and technology is necessary in selecting the right approach for a specific discovery need, but it is also important to recognize some of the variables to consider when choosing the right TAR workflow for a specific matter.

Dr. Gina Taranto, ProSearch director of applied sciences and accelerated learning solutions, outlines some of the separate, yet interacting, considerations for selecting the most appropriate TAR solution for any matter and provides an overview of the modern TAR landscape in a recent article published by ABA’s Law Technology Today.

Read the article here.

Dr. Gina Taranto

Dr. Gina Taranto

Dr. Taranto leads research and innovation of accelerated learning solutions by directing multidisciplinary teams of technologists, subject matter experts, and data scientists to train the technologies that replicate human decisions. She has been developing teams and solutions in eDiscovery for 14 years, with experience in the design and implementation of search and automated document review solutions for clients in the financial services, technology, and pharmaceutical industries. Gina’s application expertise includes IBM’s Watson Explorer, Equivio Relevance, Relativity, and dtSearch. In addition to building ProSearch’s Linguistics, Analytics, and Data Science group, she has led the development of internal programs for happiness, feedback, training, and supporting communities of practice. She is a published author in the fields of linguistics and information retrieval. Previously, Dr. Taranto was a lead linguist and adviser to client engagements at H5, and a research linguist at both A-Life Medical, Inc. and Northrop Grumman Information Systems. She received her B.A. from Kresge College at the University of California, Santa Cruz, with honors, and her M.A. and Ph.D. from the University of California, San Diego.