Generative artificial intelligence (“Artificial Intelligence”) provides significant opportunities for workplace productivity enhancements. The deployment, development, and use of Artificial Intelligence is critical to the future of all current and future businesses. Unfortunately, the successful deployment of Artificial Intelligence tools and workflows is not guaranteed, and time is of the essence. Artificial Intelligence governance structures are tools that can provide organizations with a framework to develop the processes and protocols necessary to manage the deployment, development, and use of Artificial Intelligence tools.
The successful deployment of Artificial Intelligence tools at scale requires considerable legal, administrative, and technical resources. Robust legal, managerial, and technical protocols are necessary to develop short-term and long-term goals, benchmark systems, and manage risk. Artificial Intelligence governance structures are robust and meaningful policies that explicitly govern how an organization manages the adoption, use, and implementation of Artificial Intelligence technologies. Such governance policies can help an organization manage and assess the risks and benefits of its Artificial Intelligence ecosystem in light of emerging laws, new technologies, and software trials.
In the legal industry, Artificial Intelligence governance structures are particularly helpful because Artificial Intelligence presents novel challenges for attorneys. All attorneys must be aware of the risks inherent to the use and operation of Artificial Intelligence. Jurisprudence, regulations, and legal perspectives governing Artificial Intelligence are rapidly evolving at the state, federal and international levels. The rapid integration of Artificial Intelligence into a broad range of technologies, products, and services suggests that the use, operation, and ownership of Artificial Intelligence technologies may become a facet in a broad array of legal matters ranging from transactional law to constitutional law. Artificial Intelligence governance structures are likely to be an invaluable resource for law firms and attorneys.
The primary goal of the Symposium is to provide attorneys with knowledge, strategies, and practical perspectives to guide the adoption of Artificial Intelligence governance structures prior to the use of Artificial Intelligence tools.
The successful deployment of Artificial Intelligence tools at scale requires considerable legal, administrative, and technical resources. Robust legal, managerial, and technical protocols are necessary to develop short-term and long-term goals, benchmark systems, and manage risk. Artificial Intelligence governance structures are robust and meaningful policies that explicitly govern how an organization manages the adoption, use, and implementation of Artificial Intelligence technologies. Such governance policies can help an organization manage and assess the risks and benefits of its Artificial Intelligence ecosystem in light of emerging laws, new technologies, and software trials.
In the legal industry, Artificial Intelligence governance structures are particularly helpful because Artificial Intelligence presents novel challenges for attorneys. All attorneys must be aware of the risks inherent to the use and operation of Artificial Intelligence. Jurisprudence, regulations, and legal perspectives governing Artificial Intelligence are rapidly evolving at the state, federal and international levels. The rapid integration of Artificial Intelligence into a broad range of technologies, products, and services suggests that the use, operation, and ownership of Artificial Intelligence technologies may become a facet in a broad array of legal matters ranging from transactional law to constitutional law. Artificial Intelligence governance structures are likely to be an invaluable resource for law firms and attorneys.
The primary goal of the Symposium is to provide attorneys with knowledge, strategies, and practical perspectives to guide the adoption of Artificial Intelligence governance structures prior to the use of Artificial Intelligence tools.
Course Content
12:30 - 1:30 pm - AI Laws and Regulations: Is It Really the Wild Wild West?,
Andrew Pery, Esq.,
ABBYY, Austin
1:30 - 2:30 pm - Ethical Lawyering with Artificial Intelligence: Perspectives on the Ethical Use of AI by Attorneys
Edward S. Cheng, Esq.,
Sherin and Lodgen LLP, Boston
Afton Pavletic, Esq.,
Massachusetts Board of Bar Overseers, Boston
Camila Tobon, Esq.,
Shook Hardy & Bacon LLP, Denver
2:30 - 3:30 pm - Machine Learning, Human Leading: Adopting and Implementing AI Governance Structures
John F. Weaver, Esq.,
Artificial Intelligence Practice, McLane Middleton, Woburn
Seth Berman, Esq.,
Nutter McClennen & Fish LLP, Boston
Glynna K. Christian, Esq.,
Holland & Knight LLP, Chicago
Matthew T. Henshon, Esq.,
Henshon Klein LLP, Boston
3:30 - 4:30 pm - Coded Counsel: Guidance for Attorneys on Developing and Deploying Artificial Intelligence Tools
John F. Weaver, Esq.,
Artificial Intelligence Practice, McLane Middleton, Woburn
Rachel Beithon, JD,
Thomson Reuters, Minneapolis
Jake Nelson, JD,
LexisNexis, Raleigh
Andrew Sutton, Esq.,
McLane Middleton, Woburn
Speaker(s)
ChairJohn F. Weaver, Esq.,
Artificial Intelligence Practice, McLane Middleton, Woburn
Faculty
Rachel Beithon, JD,
Thomson Reuters, Minneapolis
Seth Berman, Esq.,
Nutter McClennen & Fish LLP, Boston
Edward S. Cheng, Esq.,
Sherin and Lodgen LLP, Boston
Glynna K. Christian, Esq.,
Holland & Knight LLP, Chicago
Matthew T. Henshon, Esq.,
Henshon Klein LLP, Boston
Jake Nelson, JD,
LexisNexis, Raleigh
Afton Pavletic, Esq.,
Massachusetts Board of Bar Overseers, Boston
Andrew Pery, Esq.,
ABBYY, Austin
Michael Simon, Esq.,
Law Plus Data LLC, Holliston
Andrew Sutton, Esq.,
McLane Middleton, Woburn
Camila Tobon, Esq.,
Shook Hardy & Bacon LLP, Denver