This program delves into the evolving role of artificial intelligence (AI) in the realm of tax controversy. The program covers the use of AI tools for legal research, document automation, and predictive analytics, highlighting their applications in tax dispute resolution. It explores the benefits and challenges of AI-powered eDiscovery, the ethical considerations of AI in legal contexts, and best practices for integrating AI into tax practices. The program reviews the IRS's use of AI for audit selection, taxpayer assistance, and litigation. Lastly, this program addresses bias, privacy, and the ethical implications of AI in tax and legal contexts.

Moderator:
Travis Thompson, Esq., Boutin Jones Inc.

Panelists:
Aaron Esman, Member, Ziering & Esman PLLC
Carina Federico, Partner, Crowell
Jefferson Chen, CBIZ
Olivia Ramos, CEO of Deepblocks
Robert Kovacev, Member, Miller & Chevalier.
Roger Nemeth, Owner, Audit Detective
Sarah Ray, Of Counsel, Dentons Sirote
Sharyn Fisk, California State Polytechnic University

William Prest, LexisNexis

This webinar is available for Virtual or LIVE In-Person attendance.

The LIVE class will be held at:
Bergen Community College at the Meadowlands, 1280 Wall Street West, Lyndhurst, NJ 07071

Tax Professionals that attend are encouraged to accept a pro bono tax controversy case assignment from NYCLA, an ABA-sponsored Tax Court Pro program or a NY or NJ low-income Tax Clinic.

4 Free NY & NJ CLE, 4CPE and 4IRS CE/ 4 NASBA CPE Credits
IRS Program #: 7Q3WU-T-00600-24-O