05 June 2019 at 09:37 BST

Data analytics an in-house 'priority'

Data analytics high or medium priority for almost 60 percent of corporate counsel offices, according survey of legal operations directors.

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Data analysis within corporate law departments will keep increasing in complexity in the coming years, according to the Law Department Analytics Survey Report, released by legal industry consultancy firm HBR Consulting.

Data mining

Prioritisation of analytics reveals the speed at which corporate law departments have decided to mine data to reduce outside spend, and streamline and improve operations, Andrew Baker, senior director for HBR, explained. Five years ago, the term data analytics he said “wasn’t even in the vernacular, let alone at 60 percent.” In-house counsel are preforming a wide range of tasks through the use of data, the survey found, including choosing outside counsel and estimating legal spend, evaluating opposing counsel and parties, and reviewing contracts. Mr Baker said there were 32 respondents to the survey, but they were primarily from the “top end” of the corporate counsel spectrum, with average gross revenues of about $28 billion, and legal departments with a median of 123 lawyers and almost $100 million in legal spend. Most of the respondents held positions equivalent to legal operations directors, according to the survey, which was conducted in December 2018 and January 2019.

Managing complexity

While 16 percent of respondents said use of data science and analytics was a “high priority,” another 41 percent called it a “medium priority.” Thirty-eight percent said their departments are in early-stage planning, and only 6 percent said it wasn’t a priority. The survey also found that one in three of the respondents who categorized themselves as “experienced” with data analytics were planning to use data to evaluate outside counsel’s substantive performance, whle 40 percent were set to use data to review contracts “and related risk.” Corporate law departments are gravitating toward applying data science to do more complex tasks. Forty-one percent of respondents said they were currently using data science in “high complexity” cases, compared with 63 percent who said they planned to do so in the future. The full report can be found here.

 
   
 
 
 

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