Littler Mendelson Gambles on Data Mining as Competition Changes
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At Littler, Eigen has a broad mandate to apply data tools to clients’ problems and develop products to address them. He said that much of his team’s work—including the EEOC prediction model—would be difficult or impossible to build without the proprietary data the firm has gathered over six years from its CaseSmart software. For most firms, one of the biggest roadblocks to data analysis is simply that they haven’t been collecting data from their own cases.
“Law firms are sitting on millions and millions of documents that nobody has ever classified,” said Julian Tsisin, who is attempting to wrangle other types of legal data as head of machine learning at Google’s legal department. “Zev is in a very lucky position. Because he’s in a firm that specializes in a particular type of case, and he’s sitting on thousands and thousands of similar cases, and he has access to all that data.”
Eigen’s EEOC prediction model takes in more than 500 inputs related to each charge. It then analyzes the charge based on comparisons to Littler’s data, EEOC data and other data sources Eigen declined to discuss.
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