Video recordings available here. Transcript available here.
This conference will explore the state of the art of artificial intelligence in the practice of law. Our expert panelists will examine the following topics: Who is using artificial intelligence in legal practice and how widely is it being used? Where has AI been successful in the practice of law? Where has it failed to live up to its promise? What are the benefits and downfalls of using artificial intelligence in the practice of law? What does the future hold?
Sessions
Artificial Intelligence and Legal Transactional Work
- Jason Adaska — Panelist
Director of Innovation Lab, Holland & Hart LLP - Stephanie Curcio, Esq. — Panelist
IP attorney, Co-Founder & CEO , Legalicity (NLPatent) - Roland Vogl — Panelist
Executive Director, CodeX - the Stanford Center for Legal Informatics, Stanford Law School
The first panel will explore the role of artificial intelligence in the context of legal transactional practice. Transactional work covers a wide range of private law activities, from drafting and analyzing contracts, advising on commercial, governance, merger, acquisition and compliance matters, to drafting, filing and managing government-related documents such as patent applications, wills, and taxes. Over the past ten years, lawyers have increasingly used technological tools incorporating artificial intelligence to achieve these transactional tasks. For example, in patent practice, some attorneys are using AI to help draft basic patent template applications. In the area of due diligence, attorneys are using AI tools to quickly scan through vast amounts of contract and other business documents.
This panel will explore the state-of-the art of legal transactional artificial intelligence: What AI tools and technologies are being widely used in legal transactional practice today? How common is their use by lawyers? Is it changing transactional practice broadly, and if so how?”
Break
Artificial Intelligence and Litigation
- Dr. Maura R. Grossman — Panelist
Research Professor, David R. Cheriton School of Computer Science, University of Waterloo - Daniel W. Linna Jr. — Panelist
Senior Lecturer & Director of Law and Technology Initiatives, Northwestern Pritzker School of Law and McCormick School of Engineering - Rebecca Wexler — Panelist
Faculty Co-Director, Berkley Center for Law & Technology, UC Berkley Law
This panel will explore the role of artificial intelligence in litigation practice. In the past decade, attorneys have increasingly relied upon technology to handle the vast amounts of data involved in lawsuits. Litigators, for example, routinely rely upon technological tools to efficiently scan and analyze the voluminous emails, contracts, and other documents arising in discovery. More recently, some of these electronic discovery tools have begun to incorporate artificial intelligence to automate the sorting and analysis of discovery documents. From a broader perspective, litigators are often in the role of advising and predicting: estimating the strength of a case, the risk of litigation, the probability of success on individual motions or on the case overall, and estimating damages. Increasingly, attorneys are using predictive analytics – technologies that incorporate machine learning and other statistical techniques – to aid their predictive analysis. Relatedly, within the criminal litigation context, prosecutors and defense attorneys both use and encounter artificial intelligence in the context of forensic evidence, bail and sentencing, and other matters.
This panel will explore artificial intelligence in litigation: In the context of civil and criminal litigation, how is AI being used? Are AI systems in the context of electronic discovery outperforming manual discovery, or more basic keyword searching by attorneys? Are attorneys using AI enabled predictive analytics in the context of litigation, and how is this changing this practice? In the criminal setting, how is AI affecting prosecution and defense?
Break
Artificial Intelligence and Law: The Near Future (Predicting AI and Law in the 1 - 5 year time frame)
- Kevin Ashley — Panelist
Professor of Law, University of Pittsburgh School of Law - Ansel Halliburton — Panelist
Counsel, Trademarks & Legal Operations, Align Technology, Inc. - Megan Ma — Panelist
Fellow, CodeX - the Stanford Center for Legal Informatics, Stanford Law School
The goal of this panel is to explore the near term future of Artificial Intelligence in the Practice of Law. Much of the broader discussion of the future of artificial intelligence is filled with hyperbole, unwarranted speculation, and unsupported optimism or pessimism. By contrast, this panel aims to explore the short-term trajectory of AI within law in a rigorous manner that is firmly rooted in the evidence. Importantly, predictions will be realistic, based upon what current artificial intelligence technology can (and cannot do), without speculating about not-yet-developed technologies that may (or may not) ever arise. This panel will thus focus on the likely trajectory of artificial intelligence and law over the five year time-frame.