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AI - The Great Debate


Level: Advanced
Runtime: 119 minutes
Recorded Date: January 28, 2019
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Agenda


  • Understand how interaction with these devices could impact client’s information
  • Framework for the ethical debates behind using intelligent algorithms to trigger investigations, life-altering decisions and automate business processes
  • Evaluate the future of AI and the ethical considerations of basing decisions on data
Runtime: 2 hours
Recorded: January 29, 2019

Description

As more smart technology comes online – whether in the connected car, insurance claim evaluation and fraud detection, or automated credit applications and pricing – the legal and ethical considerations are starting to pile up. In the legal field, the adoption of AI is increasing for legal research, contract review, litigation strategy, e-discovery, and more. However, as with most new technology, many of the ethical implications of these tools remain unclear. Questions relating to ethical duties of competence and confidentiality pertain to both the analysis of AI programs from vendors and on personal devices.

This session will examine legal protections, ethical considerations and safeguarding against decisions by automated algorithmic models trained on discrete data-sets. Plus, as we look towards the future will there be a profession-wide mandate to use AI to remain competent?

This program was recorded as part of ALM's Legalweek Conference held on January 29th, 2019.

Provided By

Legalweek

Panelists

Richard Tromans

Founder
Tromans Consulting

Richard has spent over 18 years working in the legal sector focused on the UK and global legal markets.

Since launching Tromans Consulting in 2015, he has advised many law firms and several law firm networks on a variety of strategic and innovation projects.

Richard previously worked at Jomati Consultants LLP in London as a Strategy Consultant and as the firm’s Head of Research, covering a variety of advisory work, initially in support and then directly, for clients across a wide range of jurisdictions and sector focuses. This included law firms, barristers chambers and litigation funders.

Prior to that, Richard worked at US-based, Hildebrandt International, as Report Editor in its Strategic Intelligence Group. He then began his career as a consultant to law firms after being asked to contribute to client advisory projects.

Lee J. Tiedrich

Partner
Covington & Burling LLP

Lee Tiedrich brings together an undergraduate education in electrical engineering and over twenty-five years of legal experience to counsel clients on a broad range of intellectual property and technology transactions matters. She co-chairs Covington's global, multidisciplinary Artificial Intelligence ("AI") initiative. Ms. Tiedrich has been recognized in Legal 500 as a Leading Lawyer for patent licensing and transactions and has been recommended in Legal 500 for her “ability to identify critical issues” and her “extremely strong work ethic.” She is registered to practice before the United States Patent and Trademark Office and serves on the Board of Visitors of Duke University’s Pratt School of Engineering.

Clients turn to Ms. Tiedrich for advice in a broad range of complex intellectual property and technology transaction matters and policy matters, which often involve cutting-edge technologies (such as AI, Internet of Things, and augmented reality) and require innovative legal and business solutions. She has guided clients through intellectual property and technology matters arising in numerous mergers and acquisitions, investment transactions, joint ventures, and securities offerings. She has extensive experience negotiating complex intellectual property acquisition, licensing, and development agreements, including software and online services agreements, patent licenses, content and media agreements, cloud services and data agreements, branding and trademark license agreements, intellectual property settlement agreements, hardware development agreements, and agreements to obtain rights to intellectual property developed by universities or with government resources. She also counsels clients on strategies for maintaining, protecting, and expanding their intellectual property assets and for navigating privacy and data security matters in the commercial context and in connection with AI governance matters.

Her work spans several industries, including eHealth, FinTech and financial services, “big data and analytics,” communications and media, life sciences, consumer products, autonomous vehicles/mobility, and energy. She has experience counseling both private and public companies, as well as private equity and venture capital firms in their investments. She has written and spoken on topics such as artificial intelligence, IoT, global innovation, licensing, “big data,” and eHealth.

Thomas J. Hamilton

VP, Legal Strategy & Operations
ROSS Intelligence

Thomas Hamilton helps co-ordinate efforts across the company to ensure that sole practitioners, legal aid groups, law firms, state bar associations and law faculties get as much value out of ROSS as possible.

Prior to joining the ROSS Intelligence team Thomas was a lawyer at the Toronto office of Dentons. He speaks in both the United States and abroad on legal technology innovation and law firm strategy, and believes passionately in the ability of artificial intelligence to improve access to justice worldwide.

Jake Heller

Founder and CEO
Casetext, Inc.

Jake is the Founder and CEO of Casetext, Inc. He was president of the Stanford Law Review and a managing editor of the Stanford Law & Policy Review. He clerked for the Honorable Michael Boudin, United States Court of Appeals, First Circuit. Jake then became a litigation associate at Ropes & Gray. He's been programming since he was 9 and worked full-time as a web developer before law school.

Maura R. Grossman

Research Professor & Director of Women in Computer Science
University of Waterloo

Maura R. Grossman is a Research Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, in Ontario, Canada, as well as an eDiscovery attorney and consultant in New York. Previously, Professor Grossman was Of Counsel at Wachtell, Lipton, Rosen & Katz, where for 17 years, she represented Fortune 100 companies and major financial institutions in corporate and securities litigation and white collar criminal and regulatory investigations, and advised lawyers and clients on legal, technical, and strategic issues involving eDiscovery and information governance, both domestically and abroad.

Professor Grossman is a well-known and influential eDiscovery lawyer. She has been described in Who’s Who E-Discovery Analysis as “‘sensational’ according to her peers and . . . a ‘go-to’ in the area.” Chambers & Partners USA Litigation: E-Discovery has described her as “the best-known person in the area of technology-assisted review; a superstar among superstars,” “hugely experienced,” and “widely regarded as one of the foremost experts on technology assisted review (TAR) . . . ‘judges rely on her as much, if not more than any other lawyer’ in the field of search and TAR.” Professor Grossman’s scholarly work on TAR, most notably, Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review, published in the Richmond Journal of Law and Technology in 2011, has been widely cited in case law, both in the U.S. and elsewhere. Her longstanding contributions to eDiscovery technology and process were featured in the February 2016 issue of The American Lawyer, the September 2016 ABA Journal – where she was recognized as a 2016 Legal Rebel – and by the American Bar Association, which named her as one of its ten 2017 Women in Legal Tech.

Professor Grossman was co-chair of the eDiscovery Working Group advising the New York State Unified Court System from 2010 through 2015. She has served as a court-appointed special master, neutral/mediator, and eDiscovery expert to the court in multiple high-profile federal cases. She has provided eDiscovery training to federal and state court judges, by invitation of the court, and has testified, on several occasions, before the Advisory Committees on the Federal Rules of Civil Procedure and on the Evidence Rules, at their invitation.

Professor Grossman has taught eDiscovery courses at Columbia Law School, Pace Law School, and Rutgers Law School–Newark. She has been involved in the National Institute of Standards and Technology’s Text Retrieval Conference (“TREC”); in 2008 and 2009, as a topic authority, and in 2010 and 2011, as a coordinator, of the Legal Track, and in 2015 and 2016, as a coordinator of the Total Recall Track. Professor Grossman serves on the Steering Committee of The Sedona Conference? Working Group 1 on Best Practices for Electronic Document Retention and Production, as well as on the Advisory Boards of Bloomberg BNA’s Digital Discovery & e-Evidence Report, the Georgetown University Law Center’s Advanced eDiscovery Institute, the Benjamin N. Cardozo School of Law’s Cardozo Data Law Initiative, and the Arizona State University-Arkfeld eDiscovery and Digital Evidence Conference.

Professor Grossman graduated with an A.B., magna cum laude, from Brown University. She earned M.A. and Ph.D. degrees in Clinical/School Psychology from the Gordon F. Derner Institute of Advanced Psychological Studies at Adelphi University, and a J.D., magna cum laude, Order of the Coif, from the Georgetown University Law Center. While at Georgetown, Professor Grossman served as Executive Notes and Comments Editor of the Georgetown Law Journal.


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