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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

For NY - Difficulty Level: For experienced attorneys only (non-transitional)


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

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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.

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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.

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Robert Keeling

Sidley Austin LLP

Robert Keeling, founder and head of Sidley’s eDiscovery and Data Analytics group, is one of the country’s preeminent authorities on eDiscovery. Keeling serves as global outside discovery counsel for some of the nation’s best known and most technology-focused corporations.

An experienced litigator and white-collar lawyer, Keeling’s practice has long included a special focus on eDiscovery. He regularly serves as coordinating discovery counsel on major litigations, government investigations, regulatory enforcement actions, and internal investigations. Keeling guides clients through every aspect of modern discovery and successfully handles some of the largest, most sophisticated, and most data-intensive matters in the country. Clients benefit from his unique blend of real-world litigation experience and cutting-edge technological skills.

For more than a decade, Keeling has remained at the forefront of technology in litigation and government investigations. Today, whether working on a matter that has millions of documents or only thousands, Keeling applies a tailored combination of data analytics and machine learning (e.g., “predictive coding”) to quickly identify key evidence, minimize client costs, and synthesize information into compelling legal arguments.

Keeling’s extensive litigation and investigations experience gives him uncommon perspective when advising clients on the practical consequences of the eDiscovery policies, procedures, and practices they adopt.

Keeling was selected as the inaugural chair of the Electronic Discovery Reference Model (EDRM) Global Advisory Council, a body of distinguished members of the judiciary, the legal profession, industry, and academia.

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Rish Chhatwal

Assistant Vice President, Senior Legal Counsel

Rishi recently joined AT&T Services, Inc. as Executive Director and Senior Legal Counsel focusing on federal regulatory matters and eDiscovery issues. His practice covers all aspects of antitrust investigations and litigation, including counseling as well as data preservation, collection, processing, review and production. Prior to joining AT&T, Rishi was an associate at Sidley Austin LLP in Washington, D.C., representing Antitrust and Telecommunications Regulatory clients in front of federal courts and agencies.

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