AI for Trial Lawyers in 2027: Writing, Verification, Experts, Disclosure & Work Product - Live Webinar

Description

The law on AI use in litigation is rapidly changing, and plaintiffs’ lawyers need to be prepared going into 2027. Recent decisions have been issued addressing expert discovery, the discoverability of clients’ AI chats, and the reach of privilege and work product. States and individual courts are taking different approaches to AI disclosure, while new confidentiality requirements (including California Senate Bill 574) raise practical questions about where lawyers can safely put client information.

Join trial attorney Nathan Gaffney in a 90-minute AI-focused CLE that will cover:

• The Foundation:
  •  Competence and professional judgment—what competent AI use requires of trial lawyers, including exercising independent judgment, supervising the work, and maintaining command of the final product.
• AI and Expert Witnesses: 
  • The new cases addressing discovery of expert prompts and AI outputs (Villanueva v. LVMPD and Conservation Law Foundation v. Shell)
  • Managing your own expert’s AI use
  • Pursuing discovery and preparing cross-examination when you suspect an opposing expert used AI to develop opinions or draft a report (E.G. v. Continental)
  • Experts excluded or impeached over AI-generated content (Kohls v. Ellison, Concord v. Anthropic, In re Celsius, and others)
• Privilege and Work Product for AI Chats: 
  • When privilege and work product may protect AI chats by clients, unrepresented litigants, and lawyers themselves (U.S. v. Heppner and Whisman v. Rajabi) 
  • When those materials may be discoverable
  • Practical steps to preserve applicable protections
• AI Disclosure, Confidentiality, and Platform Selection: 
  • State and court requirements governing AI disclosure, including California’s new disclosure and confidentiality requirements (California SB 574 effective. Jan. 1, 2027 vs. New York, Illinois, and Florida)
  • Evaluating platform security before uploading client information
  • Choosing among newer frontier models and affordable plans for particular legal workflows, including alternatives to specialized legal AI platforms
• Firm Supervision, AI Policies, and Client Consent: 
  • Supervising AI use by lawyers and staff, developing firm AI policies, and addressing client informed consent, including when it is needed—sample policies and consent forms will be provided.
• Writing and Verification: 
  • Using AI to draft routine matters and motions; 
  • Writing for deeper understanding and retention when preparing to argue in court
  • Demonstrating a repeatable method for checking facts, quotations, and citations against original sources before filing

Nathan Gaffney is a trial lawyer who represents people and families harmed in commercial truck crashes. For the past decade he has litigated catastrophic trucking cases across the country against the largest corporations in the trucking industry, and he has helped secure multiple verdicts and settlements in the seven- and eight-figure range. Nathan is a national voice on artificial intelligence in litigation. He serves on the State Bar of Georgia’s Artificial Intelligence and Emerging Technology Committee, sits on the executive committee of AAJ’s Technology Section, and chairs two national AI committees. He has written for the AAJ Trucking Litigation Group’s journal, is on AAJ’s AI Essentials for Plaintiff Attorneys faculty, and speaks around the country on AI.

Click here for Access Instructions for Webinars.

Each user must register individually as they will need their own login to access the program and comply with CLE requirements. 

Need accreditation in another jurisdiction?  Fill out this form and note Course No. 261119W00.

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Author

Nathan Gaffney

Trial Lawyer

Details

Live Webinar:

November 19th, 2026 ♦ 3:30 PM ET ♦ 12:30 PM PT

90 minutes followed by up to 15 minutes of Q&A

Accreditation

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