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Harnessing the power of big data for our clients

The amount of data available in litigation has grown dramatically in the past decade, in both scope and volume. Generated from an array of sources, including social media, financial transactions, and other unconventional data streams, big data presents immense opportunities for enhancing expert analyses in litigation.

The advent of “big data”—i.e., data sets that are too large or complex to be dealt with by traditional data-processing software—has led us to a new era of improved prediction, estimation, and causal inference in econometric analysis. At Bates White, we have harnessed the transformative power of big data using modern tools and technologies. Our strength in leveraging big data has enhanced our ability to deliver more accurate analyses that assist our clients and the courts in making informed decisions. 

Related publication

  • In “Harnessing the Power of Big Data in Litigation,” Bates White Partners Jorge Gallardo-García, Benjamin Scher, and David Barth explore how big data tools change the approach to analyzing data for litigation. Read the full article here.

At Bates White, we use big data and big data tools to 

  • Efficiently and effectively process and analyze massive data sets with billions of records that allow us to responsively deliver answers to key questions in the deadline-oriented litigation environment 
  • Uncover hidden relationships that traditional data sets may fail to capture 
  • Improve accuracy and precision of forecasting, predictive, and causal inference models

Case highlights 

  • Analysis of music streaming data—In an intellectual property matter involving music royalty payments, processed and analyzed multiple years of daily stream counts for tens of millions of music tracks within a matter of weeks. 
  • Competitive effects and market definition—In connection with the Department of Justice’s (DOJ) investigation and subsequent lawsuit challenging American Express’s nondiscriminatory provisions, United States of America et al. v. American Express Company et al., accessed and analyzed almost 60 TB of data from supermarkets and drug stores; from American Express, Visa, MasterCard, and Discover; and from the Visa Payment Panel Study. 
  • Big data assessment of price-fixing allegations—Leveraged Hadoop big data technology on behalf of a large generic pharmaceutical manufacturer to process, store, and analyze billions of public and private sales and prescription records to assess pricing and market share patterns over time. Data sources included transactional sales, Symphony Health, IQVIA National Sales Perspective, and IQVIA National Prescription Audit. Developed a customized tool using Solr to search and synthesize hundreds of thousands of unstructured documents and data files, enabling us to quickly identify key documents and information. 
  • Big data analytics of healthcare claims—Synthesized billions of medical and pharmacy claims data records from more than ten insurers to identify and analyze patient-level trends. Leveraged big data technologies (Spark and Hadoop) to produce key insights for the client within a couple of weeks of receiving over a terabyte of claim files data.  
  • Big data analytics of IQVIA data—Analyzed 20 years of IQVIA Xponent data for thousands of products and millions of prescribers, totaling nearly 5 billion prescriptions. 
  • TWC Product and Technology, LLC.—TWC Product and Technology, LLC, engaged Bates White to analyze more than 30 terabytes of data as part of responding to a complaint filed by the People of the State of California, alleging that The Weather Channel (TWC) mobile app misled users by failing to provide transparent details about how TWC used app users’ location data.

Tools and technologies

Learn more about the tools we use for computational modeling and how we ensure the quality of the results here.

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