Lexpert Magazine

April 2016

Lexpert magazine features articles and columns on developments in legal practice management, deals and lawsuits of interest in Canada, the law and business issues of interest to legal professionals and businesses that purchase legal services.

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LEXPERT MAGAZINE | APRIL 2016 59 | IN-HOUSE ADVISOR: DATA METRICS | METRICS THAT MATTER What to measure for outside counsel performance > Per cent of matters for which full-year budget was submitted on time > Per cent of matters managed for which forecast updates were submitted on time > Actual spending versus budget, by matter > Average blended rate for all law firm attorneys who billed to the client by matter and across all matters > Success in predicting total cost-resolution range for a matter > Other process goals, including timely completion and submission of reports, early case assessments, mock trials, after-action reviews and lessons learned IN HOUSE INSIGHT to and communicated about budgets. As it turns out, the hype around Big Data has been around for years. But 2015 may have been the year that the hype actu- alized. Drinker Biddle and Littler Mendel- son P.C. are just two of several American law firms that established in-house data analytics practices in 2015. Human capital, Borden argues, does not in itself allow a law firm to do work at a price clients want to pay. "ey need qualitative empirical information in order to make the right decision about putting together the service and the service delivery team," he maintains. Besides, the benefits of data analytics are not limited to efficiency and cost-oriented information. "Big Data can be huge in case analysis, e-discovery and in helping clients leverage information to get the results they desire," he says. Lincoln Financial Group, based in Fort Wayne, Indiana, has gone so far as to use metrics to calculate win rates, not to be It's tough to shout metrics at small law departments, apart from figuring out what they're paying their lawyers, because metrics only make sense when you have the volume and type of data that lends itself to sensible analysis. > REES MORRISON, ALTMAN WEIL, INC.

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