2017 IEEE International Conference on Big Data Workshop: Big Data Analytics in the Legal Industry

Call for Papers

Information management has become a significant business challenge, with the global volume of electronically stored information doubling roughly three times since 2010. Attorneys often are overwhelmed by big data challenges, such as the number of documents that must be reviewed and produced over the course of a legal matter or voluminous transactional records that must be analyzed. In large-scale litigation, legal teams may be required to produce millions of documents for opposing parties or regulators; these same teams typically must wade through documents to find supporting evidence for their own arguments, as well as sifting the voluminous material provided by the opposition. Big data analytics techniques — text categorization, clustering, speech recognition, machine translation, sentiment analysis, information extraction, and others — are helping the legal industry address the massive data volumes and challenging data types by adding significant efficiencies and cost reductions to the legal document review process.

Big data analytics can help law firms gain competitive advantages by providing insights and patterns extracted from big data based on past behaviors of judges and attorneys in similar cases. Analytics can also be used to predict the outcome of a case, how long it might last, and how much it might cost.

While these analytics can solve legal data challenges, there is a gap between the legal industry and academics working with big data. This workshop is designed to bridge that gap and further big data analytics research applied to legal data and to provide an open and thoughtful dialogue about how these analytics assist legal practitioners. Additionally, this workshop is intended to promote the application of big data analytics in the legal industry and we are looking for interesting and novel examples of this. This workshop will accept broad applications of analytics applied to legal industry challenges or legal industry data. This is the first of a series of workshops we plan to host to advance the study of big data analytics in the legal industry.

For the purposes of this workshop, this is our definition of big data: the hundreds of thousands, to millions or billions, of emails, documents, or structured data records that pose a business challenge to the legal industry.

A few of the possible research topics or applications of technology:

Join Navigant at this workshop designed to further big data analytics research applied to legal data and to provide an open and thoughtful dialogue about how these analytics assist legal practitioners. This workshop also aims to close the gap in big data analytics between legal industry research and academic research.

 Important dates:

Paper submission instructions:

Full papers — up to 10 pages — should be submitted via the conference workshop online submission system (https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=S23).">We also encourage submission of shorter papers (up to six pages) reporting works in progress. The submission deadline is Oct. 10, 2017. All papers accepted will be included in workshop proceedings, which will also be published by the Institute of Electrical and Electronics Engineers.

Program chairs:

Program committee members:



Big Data Analytics in the Legal Industry
Workshop Chairs: Jianping Zhang, Robert Keeling, Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet

 Time Title Presenter
 2:15-3:00  Introduction and Roundtable Session  Nathaniel Huber-Fliflet
 3:00-3:25  An Empirical Study of the Application of Machine Learning and Keyword Terms to Privilege Document Review  Peter Gronvall
 3:25-3:50  Predictive Analytics for Litigation Case Management
 Jerzy Bala and Michael Kellar
 3:50-4:15  A feasibility experiment on the application of predictive coding to instant messaging corpora  Thanasis Schoinas
 4:15 - 4:35
 Coffee Break
 4:35-5:00  Glyph Analytics: A New Tool Set for Managing Big Unstructured Data Collections  John Martin
 5:00-5:25  Using Google Analytics to Support Cybersecurity Forensics  Han Qin
 5:25-5:50  Word Embeddings for Text Categorization with Application in Legal Text Analytics  Haozhen Zhao
 5:50-6:15  Empirical Evaluations of Active Learning Strategies in Legal Document Review  Nathaniel Huber-Fliflet



The Westin Copley Place - St. George D - 3rd Floor
10 Huntington Avenue, Boston, MA, 02116

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