Marketers Assert AI Perfect for eDiscovery
May 24, 2021
Automated eDiscovery firm ZyLab makes a case for AI in the law firm with its post, “A Chief Legal Officer’s Guide to AI-Based eDiscovery and Analytics,” shared at JDSupra. Writer Jeffrey Wolff begins by outlining the job of a CLO. He notes lawyers in that position tend to be most comfortable with the “traditional” duties of risk mitigation, monitoring legal matters, and minding laws and regulations. According to a Deloitte study, however, executives would like to see their CLOs work more on guiding the company culture and squaring legal concerns with company goals. Wolff suggests outsourcing this part of the CLO role. (We observe his company happens to offer such expert professional services.)
After that pitch, we learn why CLOs should consider AI. We’re told:
“AI excels at sifting through massive quantities of data to identify specific terms or concepts, even when those concepts are expressed in different terms. Because an AI system can scan data faster than any human and doesn’t get tired or distracted, it can evaluate data sets faster and more easily than a human while maintaining accuracy. A machine can also manage repetitive, laborious tasks quickly and effectively without falling prey to boredom or wandering attention. Legal departments can therefore use AI to streamline processes, reduce costs, and increase their productivity. Given that ‘nearly two-thirds (63 percent) of [legal department] respondents say recurring tasks and data management constraints prevent their legal teams from creating value at their organization,’ AI offers a way for CLOs to offload those time-consuming responsibilities and focus on the strategy and growth priorities that matter to the company’s future.”
A good place to start is with ZyLab’s specialty, eDiscovery. That area does involve a mind-boggling amount of data and AI can be quite valuable, even indispensable for larger firms. Wolff describes six ways AI tools can help with corporate eDiscovery: completing early case assessment, structuring data through concept clustering, using Technology-Assisted Review, redacting personal information, generating eDiscovery analytics, and managing eDiscovery costs. See the write-up for more on each of these tasks.
The company’s technology dates from 1983 (38 years ago). Today’s ZyLab supplies eDiscovery and Information Governance tech to large corporations, government organizations, regulatory agencies, and law firms around the world. The company launched with its release of the first full-text retrieval software for the PC. It’s eDiscovery/ Information Management platform was introduced in 2010. ZyLab is based in Amsterdam and has embraced the lingo of smart software like other eDiscovery firms.
Cynthia Murrell, May 24, 2021
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