Even lawyers that are not currently using artificial intelligence (AI) in their document review practice undoubtedly know what it is and are familiar with the benefits that technology assisted review (TAR) solutions offer. TAR programs use predictive coding algorithms to sort through large data sets and weed out irrelevant documents. After users train the program on what is relevant, it can identify data patterns and relevant concepts in future reviews. Currently, litigation uses data that is digital, repetitive, and voluminous. Compared to the time-consuming aspect of manual review, using TAR software makes document review more manageable, accurate, and consistent. However, even with all these known benefits, many lawyers retain steep reservations and are hesitant to rely on this technology.
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The eDiscovery process is complicated, with ample opportunity for errors. Mistakes can be caused by poor identification, preservation, and collection processes; inadequate review; or incomplete production. Even in the best situations, mistakes will happen.
read more Legal technology professionals and attorneys recently flooded New York for the annual Legaltech conference. Attendees spent their days listening to the keynote addresses, participating in breakout sessions, networking, catching up with old friends, and learning about new products in the exhibit hall. With so many options offered, everyone was able to take some valuable knowledge (and fun memories) back to the office.
read more With 2018 now behind us, it is a great time to look back on last year’s most influential eDiscovery cases. The final blog of this four-part series covers cases pertaining to possession, custody, and control.
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