Generative AI

Live Online

AI Prompting Deep Dive for Lawyers

Credits Available
Credit Status Total
Alaska CLE Reciprocity 3 Total
Alabama CLE Approved 3 Total
Arkansas CLE Approved 3 Total
Arizona CLE Approved 3 Total
California CLE Approved 3 Total
Colorado CLE Approved 4 Total
Connecticut CLE Approved 3 Total
Delaware CLE Approved 3 Total
Florida CLE Approved 3.5 Total
Georgia CLE Approved 3 Total
Hawaii CLE Approved 3 Total
Iowa CLE Approved 3 Total
Idaho CLE Pending 3 Total
Illinois CLE Approved 3 Total
Indiana CLE Approved 3 Total
Kansas CLE Approved 3.5 Total
Kentucky CLE Approved 3 Total
Louisiana CLE Approved 3 Total
Maine CLE Approved 3 Total
Minnesota CLE Pending 3 Total
Missouri CLE Approved 3.6 Total
Northern Mariana Islands CLE Approved 3 Total
Mississippi CLE Approved 3 Total
Montana CLE Pending 3 Total
North Carolina CLE Approved 3 Total
North Dakota CLE Approved 3 Total
Nebraska CLE Approved 3 Total
New Hampshire CLE Approved 3 Total
New Jersey CLE Approved 3.6 Total
New Mexico CLE Approved 3 Total
Nevada CLE Approved 3 Total
New York CLE Approved 3.5 Total
Ohio CLE Approved 3 Total
Oklahoma CLE Approved 3.5 Total
Oregon CLE Pending 3 Total
Pennsylvania CLE Approved 3 Total
Rhode Island CLE Approved 3.5 Total
South Carolina CLE Approved 3 Total
Tennessee CLE Approved 3 Total
Texas CLE Approved 3 Total
Utah CLE Approved 3 Total
Virginia CLE Approved 3 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
Live Online + OnDemand
3 hours
Morgan Perna
Susan Kayser
Ashton Madigan
Moish Peltz
With Morgan Perna from Cooley LLP + 3 others

Mon, Jun 29, 00:00 AM – 00:00 PM

Product ID 102213

Register For Course

Course Includes
$299

Live Webinar Registration

OnDemand Video

Video Download

Course Book Download

OnDemand content will be available within 7 days of event date.

Overview

Are Your AI Prompts Generating Useless Responses? Here's What to Do Instead

When it comes to artificial intelligence (AI) in the legal profession, surface-level prompts deliver surface-level results. In this specialized course, industry experts take you beyond the basics and show you how to design and refine AI prompts that enhance legal research, drafting, and more. From essential guidelines for calibrating prompt specificity to ingenious tips for preventing meaning drift during revisions, gain the tools you need to sharpen your expertise - register today!

  • Discover the core components of an effective prompt.
  • Determine how to craft better prompts for legal research and analysis.
  • Examine best practices for drafting and redlining legal documents.
  • Formulate strategies for revising prompts to reflect policy changes.

*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. Prompt Architecture for Legal Workflows - Explained
  2. Precision Prompting for Legal Research and Analysis
  3. Prompting for Drafting and Redlining Legal Documents (With Iteration)
  4. Best Practices in Prompting for Risk Analysis and Issue Spotting
  5. Essentials of Prompt Documentation and Reusability
Product ID 102213

Credit Details

Credits Available
Credit Status Total
Alaska CLE Reciprocity 3 Total
Alabama CLE Approved 3 Total
Arkansas CLE Approved 3 Total
Arizona CLE Approved 3 Total
California CLE Approved 3 Total
Colorado CLE Approved 4 Total
Connecticut CLE Approved 3 Total
Delaware CLE Approved 3 Total
Florida CLE Approved 3.5 Total
Georgia CLE Approved 3 Total
Hawaii CLE Approved 3 Total
Iowa CLE Approved 3 Total
Idaho CLE Pending 3 Total
Illinois CLE Approved 3 Total
Indiana CLE Approved 3 Total
Kansas CLE Approved 3.5 Total
Kentucky CLE Approved 3 Total
Louisiana CLE Approved 3 Total
Maine CLE Approved 3 Total
Minnesota CLE Pending 3 Total
Missouri CLE Approved 3.6 Total
Northern Mariana Islands CLE Approved 3 Total
Mississippi CLE Approved 3 Total
Montana CLE Pending 3 Total
North Carolina CLE Approved 3 Total
North Dakota CLE Approved 3 Total
Nebraska CLE Approved 3 Total
New Hampshire CLE Approved 3 Total
New Jersey CLE Approved 3.6 Total
New Mexico CLE Approved 3 Total
Nevada CLE Approved 3 Total
New York CLE Approved 3.5 Total
Ohio CLE Approved 3 Total
Oklahoma CLE Approved 3.5 Total
Oregon CLE Pending 3 Total
Pennsylvania CLE Approved 3 Total
Rhode Island CLE Approved 3.5 Total
South Carolina CLE Approved 3 Total
Tennessee CLE Approved 3 Total
Texas CLE Approved 3 Total
Utah CLE Approved 3 Total
Virginia CLE Approved 3 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. Prompt Architecture for Legal Workflows - Explained

    1. Formulating the Structure Behind AI Outputs
    2. Core Components of Effective Legal Prompts: What Are They?
    3. Translating Legal Reasoning Into Machine-Readable Instructions
    4. Calibrating Prompt Specificity and Depth
    5. Embedding Prompts Into End-to-End Workflows
  2. Precision Prompting for Legal Research and Analysis

  3. Prompting for Drafting and Redlining Legal Documents (With Iteration)

    1. Drafting Legal Documents: Prompt Strategies You Need to Know
    2. Single-Step Prompts vs. Prompt Chaining
    3. How to Prompt for Targeted Revisions Instead of Full Rewrites
    4. Iterative Prompting for Draft Development and Refinement
    5. Useful Tips for Preventing Substantive Meaning Drift During Revisions
  4. Best Practices in Prompting for Risk Analysis and Issue Spotting

  5. Essentials of Prompt Documentation and Reusability

    1. Best Practices for Documenting Prompt Purpose, Outputs, and Assumptions
    2. Tips for Crafting Prompts for Reusability Across Practice Areas and Matter Types
    3. Storing, Organizing, and Sharing Prompts Through Internal Libraries
    4. Reviewing and Revising Prompts to Reflect Legal Changes: Why It Matters

Who Should Attend

This program is designed for attorneys. Paralegals may also benefit.

Speakers

Morgan Perna
Morgan
Perna
Cooley LLP
Susan M Kayser
Susan M.
Kayser
Baker Hostetler
Ashton S Madigan
Ashton S.
Madigan
Greenberg Traurig LLP
Moish E Peltz
Moish E.
Peltz
Falcon Rappaport & Berkman LLP
Speaker bio
Morgan Perna

Morgan Perna

Cooley LLP
Morgan Perna

is an attorney with the Washington D.C. office of Cooley LLP. As a technologically fluent and pragmatic data, privacy and artificial intelligence (AI) risk management advisor, she advises global organizations, startups and regulated entities on legal and regulatory issues at the forefront of emerging technologies. Covering the life cycle of data-driven offerings, Ms. Perna helps companies assess and mitigate privacy and cybersecurity risks and implement practical, scalable governance structures to support business initiatives in the technology, life sciences and consumer sectors. She is trusted by leadership, engineering, product and information technology teams for her ability to align risk tolerance with business objectives and deliver right-sized, right-timed strategy and advice. Ms. Perna advises clients across industries and risk profiles on governance, data and regulatory risks spanning the AI life cycle. She tailors AI governance frameworks, data acquisition strategies and compliance plans for companies across the AI value chain. Ms. Perna previously served as seconded product counsel for Apple Intelligence products. She architects end-to-end global privacy compliance programs with risk management solutions, addressing myriad global privacy risks and compliance obligations, including those relating to consumer protection, biometrics, wiretapping, cross-border data transfers and third-party risk management. Ms. Perna earned her B.A. degree from University of Maryland and J.D. degree, summa cum laude, from University of Baltimore School of Law.

Speaker bio
Susan M Kayser

Susan M. Kayser

Baker Hostetler
Susan Kayser

is a partner with Baker Hostetler. She is a nationally recognized intellectual property litigator and counselor to international and emerging brands on trademark, advertising and copyright matters. Ms. Kayser represents clients from numerous industries, including fashion, apparel, luxury, consumer products and food and beverage. She has significant experience obtaining and defeating temporary restraining orders and preliminary injunctions in trademark and copyright matters, including complex contributory infringement matters on behalf of brands. A leading trademark lawyer for both contentious and non-contentious matters, Ms. Kayser manages multibillion-dollar global trademark portfolios; negotiates multijurisdictional disputes; and leads IP due diligence for brand acquisitions. She has achieved significant victories for clients before the U.S. Patent and Trademark Office, Trademark Trial and Appeal Board and National Arbitration Forum. Ms. Kayser’s copyright experience includes the protection and enforcement of works such as fabric designs, artwork and architectural plans, and she represents clients on moral rights under the Visual Artists Rights Act. In addition, she advises clients on the intersection of intellectual property and emerging technologies, particularly artificial intelligence, offering guidance on compliance policies, AI best practices, vendor agreement review and risk management. Ms. Kayser has been named as an “IP Trailblazer” by the National Law Journal and an “IP Star” multiple times by Managing Intellectual Property. She is also regularly recognized by the World Trademark Review as a leading trademark practitioner (both litigation and non-contentious). Ms. Kayser earned her B.A. degree from American University and her J.D. degree, magna cum laude, from American University Washington College of Law.

Speaker bio
Ashton S Madigan

Ashton S. Madigan

Greenberg Traurig LLP
Ashton Madigan

is an associate with the Denver office of Greenberg Traurig LLP. She counsels businesses on technology transactions, artificial intelligence governance, and regulatory compliance. Ms. Madigan represents companies across multiple industries in negotiating complex technology agreements, including AI partnerships, infrastructure deals, and enterprise software arrangements. She works with clients ranging from startups to Fortune 500 companies on cross-border transactions and helps organizations navigate the evolving landscape of AI regulation. Ms. Madigan focuses her practice on artificial intelligence contracting and governance. She drafts and negotiates AI terms for both internal technology use and client-facing services across various sectors, including human resources, tax, and marketing. Ms. Madigan has negotiated AI partnership agreements between global technology companies and professional services firms. She also develops AI usage policies and guardrails for organizations implementing AI tools. Ms. Madigan's work includes advising clients on compliance with the EU AI Act and other emerging AI regulations, helping businesses understand their obligations and develop practical compliance strategies. In her technology transactions practice, she handles data center agreements, SaaS contracts, and large-scale infrastructure deals. Ms. Madigan has negotiated and closed high-value colocation agreements with Fortune 100 clients. She collaborates with technical teams seeking to ensure agreements reflect both business objectives and technical requirements while managing risk across multiple jurisdictions. Ms. Madigan holds certifications as a Certified Information Privacy Professional (CIPP/US) and Artificial Intelligence Governance Professional from the International Association of Privacy Professionals. She earned her B.A. degree, cum laude, from University of Mississippi; her M.A. degree from University of Mississippi; and her J.D. degree from University of Colorado.

Speaker bio
Moish E Peltz

Moish E. Peltz

Falcon Rappaport & Berkman LLP
Moish Peltz

is co-managing partner of the New York City office of Falcon Rappaport & Berkman LLP. He co-chairs FRB's Digital Assets Practice Group and chairs FRB's Intellectual Property Practice Group. Mr. Peltz oversees coordination between the Digital Asset Practice Group and all other practice groups of the firm, to ensure that the firm's clients receive the benefit of FRB's full-service approach, custom tailored to the unique issues presented by the blockchain industry. He also advises numerous venture technology companies on emerging technology and blockchain matters, with a focus on the intersection of IP and blockchain. Mr. Peltz has been advising cryptocurrency ventures since 2014, and combines his knowledge of the blockchain with a decade of IP and business law experience where he helps entrepreneurs grow their businesses and brands and resolve disputes. His practice encompasses both transactional and business litigation matters. Mr. Peltz's practice also focuses on U.S. and worldwide trademark prosecution and enforcement, including litigation before the Trademark Trial and Appeal Board (TTAB). His previous experience includes working at a premier IP law firm where he acted as trial counsel in numerous contested IP matters before U.S. District Courts and Courts of Appeal. Mr. Peltz has worked across numerous industries, including technology, energy and renewable energy, entertainment, media, and advertising, real estate, hospitality, education, cryptocurrency and NFTs, artificial intelligence (AI), legal cannabis (including hemp and CBD), and medical/health care. He has assisted entrepreneurs, artists, and non-profits with their various legal needs. Mr. Peltz earned his B.A. degree from Union College; and his J.D. degree, with Certificate in Intellectual Property Law, from University of Florida Frederic G. Levin College of Law.

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Effective July 1, 2026, Utah attorneys can carry over up to 6 hours of excess Verified CLE credits from their current compliance period to their immediate next compliance period. Ethics or professionalism credits may not be carried forward.

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