Analyzing Images with Deep Learning - The Next Frontier of Legal Technology Review

Level: Advanced
Runtime: 60 minutes
Recorded Date: February 05, 2020
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• Deep Learning business problems
• Machine Learning
        - Deep Learning
        - Transfer Learning
        - Image Classification
        - Image Clustering
        - Image Object Recognition
        - Object Recognition

Runtime: 1 hour
Recorded: February 5th, 2020


Image processing, powered by deep learning technology, has made great advances in the last decade and is now effective at providing accurate results for challenging machine learning tasks including image classification, image clustering, and object detection. Deep learning is the same technology that the AlphaGo program used to beat the 18-time world Go champion Lee Sedol, a feat that some machine learning scientists described as a ‘spooky result’. Deep learning is an incredibly powerful technology which can help lawyers more effectively identify and analyze images within their reviews.

Image classification, image clustering, and object detection are helping lawyers mine their data sets for handwriting, personal photos to assist with privacy regulations, the state of a construction site before and after a major event, pornography, and many other applications. These technologies are also helping to exclude irrelevant logos and pictures from review to reduce costs, as well as organizing similar types of pictures together for a quick assessment of their content

This program was recorded as part of's Legalweek Conference on February 5th, 2020.

Provided By



Nathaniel Huber-Fliflet

Senior Managing Director

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.

Jianping Zhang

Senior Managing Director

Dr. Jianping Zhang is a Senior Managing Director at Ankura in the Washington, DC office. He has over 25 years of proven leadership and technical experiences in solving complex data analytics problems. Specifically, his experience covers artificial intelligence, machine learning, predictive analytics, big data analytics, text analytics, and software development. Jianping’s extensive experiences in analytics address clients’ complex and evolving data challenges. Jianping has led the efforts in developing AI, machine learning, and advanced analytics products and solutions for government and commercial problems in various industries including financial, legal, and high tech. Jianping’s innovative research and development work resulted in more than 100 peer reviewed technical publications and two US patents.

Robert Keeling

Sidley Austin

Robert Keeling is an experienced litigator whose practice includes a special focus on electronic discovery matters.  He represents both plaintiffs and defendants in complex civil litigation across the nation and conducts internal investigations domestically and internationally.

Robert is a co-chair of the firm’s eDiscovery task force. Robert is experienced with technology-assisted review, predictive coding, and other applications that can enable clients to significantly reduce eDiscovery costs while maintaining the defensibility of the review.

Rish Chhatwal

Assistant Vice President

Rishi is Assistant Vice President and Senior Legal Counsel for Antitrust & Enterprise eDiscovery at AT&T Services, Inc.  Within his role, he manages AT&T’s eDiscovery team and provides in-house clients with counseling on discovery leadership, including preservation, collection, processing, review, and production to government agencies and litigants. He also advises on domestic and international eDiscovery practices and internal investigations.

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