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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Artificial intelligence (AI) seems to be making its way into every area of legal practice. From helping attorneys sort through thousands of pages of eDiscovery documents to identifying relevant data, AI tools are transforming the industry. Now, many firms are turning to legal analytics programs to gain insight into the way judges rule, anticipate arguments from opposing counsel, analyze their own strengths and weaknesses, and create strategies that improve their chances of prevailing in litigation.
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