Generative AI

4.0

6 Foolish Things Your Clients Do With AI - and How to Fix Them

Credits Available
Credit Status Total
Alaska CLE Approved 3 Total
Arizona CLE Approved 3 Total
California CLE Approved 3 Total
Connecticut CLE Approved 3 Total
Delaware CLE Approved 3 Total
Florida CLE Approved 3.5 Total
Idaho CLE Approved 3 Total
Louisiana CLE Upon Request 3 Total
Maine CLE Approved 3 Total
Minnesota CLE Approved 3 Total
Missouri CLE Approved 3.6 Total
Northern Mariana Islands CLE Approved 3 Total
Montana CLE Approved 3 Total
North Dakota CLE Approved 3 Total
Nebraska CLE Approved 3 Total
New Mexico CLE Approved 3 Total
Nevada CLE Approved 3 Total
New York CLE Approved 3.5 Total
Oklahoma CLE Approved 3.5 Total
Oregon CLE Upon Request 3 Total
Pennsylvania CLE Approved 3 Total
Rhode Island CLE Upon Request 3.5 Total
Vermont CLE Approved 3 Total
Washington CLE Approved 3 Total
Wisconsin CLE Approved 3.5 Total
West Virginia CLE Approved 3.6 Total
Wyoming CLE Upon Request 3 Total
OnDemand
2 hours 57 minutes
C. Richard Martin
Mark Stignani
With C. Richard Martin from Martin IP Law Group, PC + 1 other
Recorded August 28, 2024
Product ID 98941

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Overview

Advise Your Clients on the Legal Risks of Generative AI and on the Safest Ways Forward

The first case law regarding the use of generative AI is just coming in, but we can already start a solid round-up of top risky things clients do that land them in hot water. Don't let your clients join the genAI Darwin awards! This practical legal course will help you advise against top risky behaviors and to provide safer alternatives. There's no doubt that generative AI is disrupting nearly all areas of human activity - help your clients harness this new power more safely. Register today!

  • Get an update on the latest efforts to regulate the use of generative AI and help clients comply.
  • Determine what red flag activities to review more carefully.
  • Protect clients from "fake" generative AI vendors whose claims aren't backed up with real technical capabilities.
  • Help clients create acceptable use policies.
  • Spot and fix mistakes stemming from taking genAI outputs at face value.
  • Get armed with the latest case law pertaining to generative AI.

*Any mention of specific products in this program is intended as part of a general overview and does not constitute NBI's endorsement or recommendation of any specific product or provider. This program is not sponsored by any technology or electronics provider.

Abbreviated Agenda

  1. Failure to Comply With the Latest AI, Data Security, and Privacy Regulations
  2. Using Open Source Generative AI With No Safeguards
  3. Allowing Employees to Use Generative AI With No Guidance or Acceptable Use Policy in Place
  4. Failure to Verify, De-Bias, Contextualize, and Interpret GenAI Outputs
  5. Carelessly Contracting With AI Vendors
  6. Turning to Generative AI for "Free" Legal Advice: Lessons From Recent Case Law

Related Topics

Product ID 98941

Credit Details

Credits Available
Credit Status Total
Alaska CLE Approved 3 Total
Arizona CLE Approved 3 Total
California CLE Approved 3 Total
Connecticut CLE Approved 3 Total
Delaware CLE Approved 3 Total
Florida CLE Approved 3.5 Total
Idaho CLE Approved 3 Total
Louisiana CLE Upon Request 3 Total
Maine CLE Approved 3 Total
Minnesota CLE Approved 3 Total
Missouri CLE Approved 3.6 Total
Northern Mariana Islands CLE Approved 3 Total
Montana CLE Approved 3 Total
North Dakota CLE Approved 3 Total
Nebraska CLE Approved 3 Total
New Mexico CLE Approved 3 Total
Nevada CLE Approved 3 Total
New York CLE Approved 3.5 Total
Oklahoma CLE Approved 3.5 Total
Oregon CLE Upon Request 3 Total
Pennsylvania CLE Approved 3 Total
Rhode Island CLE Upon Request 3.5 Total
Vermont CLE Approved 3 Total
Washington CLE Approved 3 Total
Wisconsin CLE Approved 3.5 Total
West Virginia CLE Approved 3.6 Total
Wyoming CLE Upon Request 3 Total
Select Jurisdiction
CLE

Agenda

All times are shown in

  1. Failure to Comply With the Latest AI, Data Security, and Privacy Regulations

    1. Running Afoul of the Rules on the Use of Generative AI as a Federal Employee
    2. Uploading Protected IP
    3. Failing to De-Personalize Information Before Uploading to GenAI

  2. Using Open Source Generative AI With No Safeguards

  3. Allowing Employees to Use Generative AI With No Guidance or Acceptable Use Policy in Place

  4. Failure to Verify, De-Bias, Contextualize, and Interpret GenAI Outputs

  5. Carelessly Contracting With AI Vendors

    1. Without Having an Attorney Review the Contract/Use Agreement
    2. Falling for Overstated and Fake "Generative AI" Advertising (AI-Washing)
    3. Mis-Use of Chatbots

  6. Turning to Generative AI for "Free" Legal Advice: Lessons From Recent Case Law

Who Should Attend

This legal guide is designed for attorneys. CTOs, CCOs, law firm administrators, and paralegals will also benefit.

Speakers

C. Richard Martin
C. Richard
Martin
Martin IP Law Group, PC
Mark Stignani
Mark
Stignani
Barnes & Thornburg LLP
Speaker bio
C. Richard Martin

C. Richard Martin

Martin IP Law Group, PC
C. Richard Martin

is attorney and founder of Martin IP Law Group, PC. Mr. Martin advises and assists clients in identifying and protecting inventions with patents as well as navigating the mine field of competitor patents that may affect their ability to commercialize their ideas. He has obtained hundreds of patents for inventors in a variety of fields, including timing systems, mine safety devices, broadband antennas, RFID, electronics, ranging, oil and gas, semiconductors, and other mechanical and electro-mechanical devices. Mr. Martin has also worked with clients to acquire, protect and enforce their rights to valuable trademarks, copyrights and trade secrets. Mr. Martin previously worked as a patent examiner at the U.S. Patent & Trademark Office. He earned his B.S. degree from Purdue University and his J.D. degree from Catholic University Columbus School of Law School.

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Speaker bio
Mark Stignani

Mark Stignani

Barnes & Thornburg LLP
Mark Stignani

is a partner in the Minneapolis office of Barnes & Thornburg LLP. He is the chair of the firm's data analytics practice group, and applies his intellectual curiosity, technical and research savvy, and penchant for innovation to create a broad spectrum of analytics and strategic review of clients' corporate transactions, reorganizations, and intellectual property endeavors. Mr. Stignani earned his J.D. degree from William Mitchell College of Law while working for Alliant Techsystems. He previously had completed postgraduate work in robotics and control systems at the University of Minnesota and National Technological University, while working at Honeywell, Inc. Further, Mr. Stignani is a Certified Information Privacy Professional (CIPP). He offers his insights through dozens of webinars annually, and serves as a regular lecturer at colleges and universities across the state of Minnesota. Mr. Stignani also is a frequent speaker at for various associations and conferences, including Reel Lawyer, Black Hills IP Analytics Series, LES International and Practicing Law Institute.

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