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Is the AI Revolution Creating Information Governance Problems?

The world is powered by data and technology. With all the focus and new legislation on data privacy, organizations need to keep governance at the forefront when reconciling the use of emerging technologies with compliance and privacy considerations. One area where this becomes particularly important is when organizations utilize platforms, solutions, and other technologies powered by artificial intelligence (AI) for business purposes. Some examples include creditors automating decisions on consumer approvals or employers using AI technology to assist with hiring determinations.

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Don’t Trust Cupid, Trust the Black Box

Valentine’s Day is here. The holiday is easily recognizable since pink and red cards, chocolates, and stuffed animal menageries appear on displays at your local pharmacy about one week after New Year’s. Often, the day centers on feelings of love or friendship and celebrates human relationships. Legend says that on Valentine’s Day, Cupid will instinctively know our true love and join them together with his bow and arrow. However, the modern era is not so trusting of the winged baby in a diaper to know who our soulmate should be. Instead, people have turned to match-making sites to help them sort through the dating pool and find the right person.

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Applying AI in Privilege Review

The use of artificial intelligence (AI) continues to expand in the legal industry. From legal research search engines to technology assisted review (TAR) to machine learning for contracts review, this technology is rapidly evolving. As the technology changes, lawyers discover new ways they can integrate it into their practice or business operations.

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An Unlikely Pair: Lawyers and AI

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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