Fliflet Nathaniel Huber

Nathaniel Huber-Fliflet
Senior Managing Director

Advanced Analytics; Enforcement Agency Investigations & Litigation Expertise

Nathaniel Huber-Fliflet is a Senior Managing Director at Ankura, based in Washington, DC. He has 14 years of experience consulting with law firms and corporations on advanced data analytics solutions and legal technology services. His core expertise is in machine learning, speech recognition, data mining, and software development – all within the legal technology and services market space.

  • Experience

    He applies his experience across a variety of domains including antitrust, government investigations, and information security, assisting clients across the full pantheon of regulated industries including financial services, telecommunications, healthcare, and energy. Nate is a trusted advisor to law firms and corporate clients, with a distinguished expertise in negotiating on their behalf with enforcement agencies on the use and adoption of predictive analytics technology to handle complex and costly data challenges. Over the last three years, Nate co-led the development of market-changing advanced analytics solutions that incorporate the following technology: (i) machine-learning; (ii) speech recognition; (iii) data visualization and clustering; and (iv) anomaly detection. Nate worked for Amici, a legal technology startup, which was acquired by Xerox Corporation. Following his tenure at Amici and Xerox, Nate held a position as senior manager at Deloitte. Prior to joining Ankura, Nate worked within Navigant’s disputes, forensics & legal technology (DFLT) segment, which was acquired by Ankura in 2018.

    Nate is active in the DC community, assisting not-for-profit organizations like the Mid-Atlantic Innocence Project and the Landlord Tenant Resource Center with technology-enhanced pro bono services.

  • News & events
    • ABA 66th Antitrust Law Spring Meeting 2018, “An Ethical Journey Through E-Discovery,” with Charles Moore, Jeffery Kopczynski, James Pizzirusso
    • LegalTech 2018, “An Empirical Evaluation of Active Learning Strategies in Predictive Coding,” 2018, with Dr. Jianping Zhang, Dr. Haozhen Zhao, Robert Keeling, Rishi Chhatwal
    • 2017 Construction Super Conference, “Predicting Success: Predictive Coding Strategies for Successful Data Review in Construction Claims and Disputes,” with Elise Greenspan, Larry Dany, Michele Laine
    • LegalTech 2017, “Predictive Coding: Deconstructing the Secret Sauce,” with Dr. Jianping Zhang, Dr. Haozhen Zhao, Robert Keeling, Rishi Chhatwal
    • IEEE International Conference on Big Data Presentation, “Empirical Evaluations of Preprocessing Parameters’ Impact on Predictive Coding’s Effectiveness,” 2016, with Dr. Jianping Zhang, Dr. Haozhen Zhao, Robert Keeling, Rishi Chhatwal
    • DC Bar eDiscovery and Information Governance Committee Panel Session, 2016, “Demystifying Mobile Discovery – A Case Study,” Robert Keeling, Antigone Peyton, Dustin Sachs, Washington, DC
    • ABA Section of Litigation Presentation, 2016, “Further Developments in Predictive Coding: Current and Future Applications in E-Discovery,” with Sheldon Finkelstein, Aaron Crews, Jenna Aira-Ventrella, Michael Shortnacy, Webinar
    • ABA Section of Litigation Presentation, “Latest Developments in Predictive Coding,” 2015, with Sheldon Finkelstein, Cecil A Lynn III, Jenna Aira-Ventrella, Livia Anne McCammon Kiser, Webinar
    • HB Litigation Conferences – Northeast Corporate Counsel Forum 2014, 2014, “E-Discovery: Best Practices & Outlook,” Atlantic City, NJ, with Sheldon Finkelstein, William McManus, Anthony Lowe, Alexander Arato
    • ABA – Eighth Annual National Institute on E-Discovery Panel Session, 2014, “Dealing With Difficult Data: A Look at Preserving and Producing Increasingly Common But Challenging Data Sources,” New York City, NY, with Margaret Dale, The Honorable Thomas J. Shields, Chris Spizzirri, Paul Weiner
    • University at Albany-SUNY First Annual Special Topics in Strategic and Emerging Technologies in Accounting Conference, 2013, “Text Categorization for Document Review,” New York City, NY, with Ali Hadjarian
  • Insights & innovation
    • “An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal,” IEEE International Conference on Big Data Workshop: Big Data Analytics in the Legal Industry, with Dr. Jianping Zhang, Peter Gronvall, Robert Keeling, Dr. Haozhen Zhao, Robert Neary
    • “Empirical Evaluations of Active Learning Strategies in Legal Document Review,” IEEE International Conference on Big Data Paper, 2017, with Dr. Jianping Zhang, Dr. Haozhen Zhao, Robert Keeling, Rishi Chhatwal
    • “’Talk is the New Doc’ – Deploying Text Analytics and Speech Recognition to Manage Audio Files in E-Discovery,” MCCA Global TEC Forum Article, 2016, with Peter Gronvall
    • “Empirical Evaluations of Preprocessing Parameters’ Impact on Predictive Coding’s Effectiveness,” IEEE International Conference on Big Data Paper, 2016, with Dr. Jianping Zhang, Dr. Haozhen Zhao, Robert Keeling, Esq., Rishi Chhatwal, Esq.
    • “Deploying Text Analytics and Speech Recognition to Manage Audio Files in E-Discovery,” ABA Pretrial Practice and Discovery Committee Article, 2016, with Peter Gronvall