| | FEBRUARY 20208CIOReviewBy Martha Louks, Director of Technology Services - McDermott Discovery, McDermott Will & Emery LLPAI IS A LITIGATION FORCE MULTIPLIERIn recent years, Artificial Intelligence (AI), or machine learning, has been incorporated into an increasing number of applications, but how exactly can these tools be used in real cases to change the way we do e-discovery and amplify the impact attorneys can have in the litigation process? In our experience, strategic and creative uses of AI have been extremely successful in reducing the costs associated with e-discovery, as well as helping counsel find the most important information in a large set of documents very quickly. Simply put, we are able to be more effective and efficient in e-discovery and litigation preparation by using AI technology.The challenge of big data has contributed to rising discovery costs for our clients. Document review is often the most expensive part of litigation, and these days even cases with a "small amount" of data invariably have a greater-than-expected number of documents. AI technology is uniquely poised to address the barriers to meaningful analysis presented by large numbers of documents. We have found that there is tremendous value to using some form of data analytics or AI on virtually every case, instead of simply adding more reviewers to sift through the data.How AI Has Changed the E-Discovery ParadigmNo need to review every document: In "old-fashioned" document review, attorneys would manually read the documents in a case to assess for responsiveness, privilege, and issues. This type of manual review required substantial hours, and, given that the majority of documents reviewed were ultimately non-responsive, this meant that a lot of attorney time was spent looking at documents that were not relevant to the case and would never be produced. IN MY OPINION
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