AGENDA OF TASK FORCE:
This Agenda is a proposal and may be amended by the Task Force. The Task Force will consider, on an ongoing basis, the need for new subcommittees, working groups, etc., and other events, actions or resources as necessary to carry out the purposes of the committee.
TASK FORCE MEMBERS:
The Task Force may consist of representatives from data-science and law, information-governance and from market verticals.
Task Force members should be self-motivated and have the time and inclination to attend meetings, provide contribution to creation of references and similar activities necessary to carry out the purposes of the committee. It is believed that it is best to have at least two professionals on the Task Force for any given topic under consideration. This ensures that advice and input is robust, objective and balanced.
All contributions to the Committee and the Task Force are in a volunteer capacity. Any disputes or disagreements will be resolved by the Committee’s chair and decisions will be final. All contributions to references, resources and publications by any Task Force or Committee member become the property of the American Bar Association.
Last, this is a new Committee and in a very broad and ubiquitous subject. The Task Force should remain open-minded to the need to redefine direction of the committee. The Task Force may need to be converted to a subcommittee or working group or similar persistent entity to update and maintain the Mission Statement as a living document.
TASK FORCE RECRUITMENT:
New candidates are welcomed depending on the needs of the task force; motivated volunteers who can contribute to existing needs will always be considered. Recruiting occurs in TWO professional areas:
Data Scientists: data scientists are needed to cover the full spectrum of a data-science project lifecycle and from areas covering all verticals within data science to include structured and unstructured data, high-speed (high “velocity”) analytics, in-database applications, etc. Essentially, verticals that will need to be represented include Statistics (descriptive and inferential), Data Analysis, Database Engineering, Computer Programming, Linguistics / Natural Language Processing, Data Mining / Text Mining, Machine Learning and Information Retrieval. It is likely that one Data Scientist will be able to address more than one of these verticals. Data Scientists need not have a legal background but this is desirable.
Legal Professionals: attorneys, paralegals, litigation support, investigators and similar professionals with strong technical background who can assist with addressing legal principles in the application of data-science process, ensure cross-functional integrity of process and assist with best practices for use of data science in the legal profession. This is the first time this effort is known to have occurred so requirements for this area remain undefined in many areas.
CURRENT AGENDA ITEMS
Development of Book
Big data is defined as data of sufficient size or complexity that it exceeds the capabilities of conventional solutions or methodologies. At present, the Big Data Committee will focus in the area of data science as the area best able to address the needs imposed by big data.
Big Data Reference Model
At the highest-level, there should be a recognition that a legal professional may need to traverse any vertical within data science to properly address their needs. Legal agendas, policies, regulations and legal matters are driven by information that is in the abstract. This information may be found in nearly any type of electronic form. Since data-science verticals touch all forms of electronic data, and in different ways, it will be necessary to provide a high-level framework, or reference model, which will guide the legal professional through the field of data science, generally.
To compound this, often, professionals from one data-science vertical are not familiar with what others do. This is one more reason a reference model is needed – to keep all professionals across the data-science verticals focused in the same direction.
The Big Data Committee is currently working on a book that will embody the Big Data Reference Model. The book(s) will include educational material, best practices, practical advice, where to find useful resources, etc. The outline is currently being refined but will include topics organized by practice area where use cases will provide hypothetical scenarios and where data-science solutions will be utilized. It is expected that most major legal-profession domain areas will be represented and major areas of data science will be discussed.
Creation of Newsletter
The Task Force recently created a newsletter headed by Jobst Elster. The newsletter will be released quarterly. Please watch this website for update.
Development of Educational Material
Of paramount importance to successfully address the big-data challenges is interaction between domain experts and data scientists. It is believed that easy-to-understand, appropriate educational material will be at least as important as any other agenda of this Committee. Educational content may need to be created for data scientist on legal domains and separate content on data science verticals for domain experts. Plans and recommendations will be one deliverable of this Task Force.
TASK FORCE MEMBERS
TASK FORCE MEMBERS (those who have agreed to have their name and information posted on this site):
John M. Facciola, United States Magistrate Judge, Washington DC
Jason R. Baron, Of Counsel, Drinker Biddle & Reath LLP
Gerard J. Britton, CEO, Topiary Discovery LLC
Craig Ball, Attorney & Forensic Technologist, Craig D. Ball, P.C.
Elle Pyle, Discovery Counsel, McDermott, Will & Emery
Christina Ayiotis, Esq., CRM, Adjunct Faculty, The George Washington University, Co-Chair, Georgetown Cybersecurity Law Institute
Bill Dimm, Ph.D., Founder & CEO, Hot Neuron LLC
Shelby J. Kelley, Partner, Bracewell & Giuliani LLP
Andrew Fast, Ph.D., Chief Scientist, Elder Research, Inc.
Stephen S. Wu, Esq., Partner, Law Offices of Cooke, Kobrick and Wu, LLP., Los Altos, CA
Sylvie Charles, Founder & Principal Attorney at Legaldotnext
Sasha Hefler, Director of Communications, Big Data Committee of ABA
Justin P. Murphy, Esq., Crowell & Moring LLP
Benjamin Rose, Digital Forensics and Electronic Discovery Expert/Consultant
Dave Townsend, Cyber-Security and Incident Response Consultant
Jakob Halskov, Ph.D., Technical Expert, Technology Department, UBIC Japan
Jobst Elster, Head of Legal Market Strategy, InsideLegal.com
Daniel Martin Katz, J.D., Ph.D., Associate Professor of Law, Michigan State University
Dr. Joel Henry, JD, Legal Technology Lawyer and Consultant, CTO Agile Legal Technology
Judy Selby, Privacy and Information Governance, Partner at BakerHostetler
Joseph Cheriathundam, Managing Director, StoneTurn Group, LLP
Hisham A. Kassim, Attorney, Kalbian Hagerty LLP, Washington, DC
Brian Slack, Esq., Project Manager, UBIC North America, Inc.
Angie Raymond, Assistant Professor, Department of Business Law, Kelley School of Business, Indiana University
Christopher J. Savoie, Ph.D., J.D., Senior Manager Enterprise Architecture, Nissan Silicon Valley Office (data scientist and licensed attorney)