How Artificial Intelligence and Machine Learning Are Impacting the Litigation Landscape

Mike DeCesaris
Mike DeCesaris
Cornerstone Research

Mike DeCesaris has twenty years of consulting and litigation experience. He leads the firm’s Data Science Center. Mr. DeCesaris specializes in directing complex, data-intensive projects requiring data management, production, and integration, along with advanced empirical analysis.

Ernest Kim Song
Ernest Kim Song
Cornerstone Research

Ernest Kim Song has over ten years of experience consulting on all phases of commercial litigation, internal investigations, and regulatory matters.

On-Demand: August 28, 2023

This class is included in the Federal Bar Association CLE Pass

Subscribe to Federal Bar Association CLE Pass...
Co-Sponsored by myLawCLE
Get this course, plus over 1,000+ of live webinars.
Learn More
MCLE Credit Information:

Select Your State Below to View CLE Credit Information

1 hour CLE
Tuition: $95.00
Training 5 or more people?

Sign-up for a law firm subscription plan and each attorney in the firm receives free access to all CLE Programs

Program Summary

Recent advancements in artificial intelligence (AI) and machine learning (ML) capabilities, including developments in generative AI, are leading to both new business opportunities for law firms as well as changes in litigation practice and expert testimony. In the world of litigation, the power of AI and ML have been long understood by law firms and economic and financial consulting firms. Law firms have been using technology assisted review and predictive coding technology to make e-discovery more efficient for many years. The support of expert witnesses has always required leading-edge analytical tools and data science techniques, and AI and ML are increasingly important tools in experts’ arsenals. As older, rulesbased AI has evolved into ML where computers are programmed to accurately predict outcomes by learning from patterns found in massive data sets, the legal industry has found that AI can do far more than many imagined. Then, in the last six months, Large Language Models (LLMs) such as GPT-4 have captured the attention of the legal industry and promise to augment existing AI and ML capabilities and provide broad access to a non-technical audience through web interfaces such as ChatGPT.

This course is co-sponsored with myLawCLE.

Key topics to be discussed:

  • Potential new business opportunities created by clients’ use of AI and LLMs
  • Potential impact of LLMs and generative AI on litigation practice
  • The use of AI and ML in expert testimony by both plaintiff and defense side experts over the last several years

Date / Time: September 8, 2023

Closed-captioning available

Speakers

Mike DeCesaris_Cornerstone Research_FedBarMike DeCesaris | Cornerstone Research

Mike DeCesaris has twenty years of consulting and litigation experience. He leads the firm’s Data Science Center. Mr. DeCesaris specializes in directing complex, data-intensive projects requiring data management, production, and integration, along with advanced empirical analysis. He has worked with both outside and inside counsel to efficiently manage the discovery of large, proprietary databases in complex litigation, investigations, and merger reviews.

His extensive experience spans matters related to healthcare, the False Claims Act, antitrust and competition, consumer fraud and product misrepresentation, internal investigations, intellectual property, and breaches of contracts. Mr. DeCesaris is experienced leading teams assisting clients seeking to conduct complex internal investigations, address class certification, establish the impact of conduct, estimate damages, assess exposure, or calculate settlement payments. The matters he has worked have involved a range of industries, including healthcare and life sciences, financial services, energy and commodities, telecommunications and media, high technology, consumer products, tobacco, and airlines.

Mr. DeCesaris is the author of the article “Using Big Data in Gathering Expert Testimony,” published in Law360. He also coauthored “Mobile Advertising: An Economic Perspective,” published in Distribution, the newsletter of the American Bar Association’s Antitrust Section; and “Energy Trading Strategies in California: Market Manipulation?” published in Obtaining the Best from Regulation and Competition. Metropolitan Corporate Counsel published an interview with Mr. DeCesaris on “Digging for Deep Expertise: Big data and discovery deadlines drive surging need for well-prepared experts.”

 

Ernest Kim Song_Cornerstone Research_FedBarErnest Kim Song | Cornerstone Research

Ernest Kim Song has over ten years of experience consulting on all phases of commercial litigation, internal investigations, and regulatory matters. As director of Cornerstone Research’s Data Science Center, Mr. Song leads interdisciplinary data scientists in applying artificial intelligence (AI), social media analysis, geospatial analysis, big data analytics, and machine learning (ML) techniques to support expert testimony.

Mr. Song consults on issues at the intersection of law, technology, big data, and data science. These include analyzing algorithmic trading platform code, interfacing with cryptocurrency network infrastructure, and assessing how information is disseminated through social media and chatting platforms. His expertise includes advanced analytics and evaluating complex data workflow issues in matters involving cryptocurrency, antitrust, merger review, securities class actions, and mortgage-backed securities. He has also provided data science support in matters alleging defamation and market manipulation.

Agenda

I. Potential new business opportunities created by clients’ use of AI and LLMs | 2:00pm – 2:20pm

  • Privacy and data security | 2:00pm – 2:02pm
  • Intellectual property | 2:02pm – 2:04pm
  • Product liability | 2:04pm – 2:08pm
  • Labor and employment | 2:08pm – 2:12pm
  • Antitrust and competition | 2:12pm – 2:16pm
  • Healthcare and life sciences | 2:16pm – 2:20pm

II. Potential impact of LLMs and generative AI on litigation practice | 2:20pm – 2:40pm

  • Assess the current state of the technology | 2:20pm – 2:30pm
  • What use cases law firms are exploring and where things may be in a few years | 2:30pm – 2:40pm

III. The use of AI and ML in expert testimony by both plaintiff and defense side experts over the last several years | 2:40pm – 3:00pm

  • One area where these techniques can be particularly helpful is in analyzing large volumes of user-generated content such as social media posts and consumer reviews | 2:40pm – 2:50pm
  • Explore use cases for AI and ML in expert testimony, including | 2:50pm – 3:00pm
    • Domain-specific sentiment analysis
    • Assessing marketing influence on social media
    • Image object detection
    • Public press topic modeling
    • Multimedia characterization
    • Assessing the nature of allegedly defamatory statements, product liability, and class certification
More CLE Webinars
Trending CLE Webinars
The Corporate Transparency Act Reporting Obligations
The Corporate Transparency Act Reporting Obligations
Law Offices of Jonathan H. (Jason) Warner, P.A.
On-Demand
IRS Penalty Abatement Made Easy
IRS Penalty Abatement Made Easy
Green & Sklarz, LLC
On-Demand
Gun Trust Law (2024 Edition)
Gun Trust Law (2024 Edition) Wed, October 23, 2024
On-Demand
Live Replay
Revocable Living Trusts from Start to Finish (2024 Edition)
Revocable Living Trusts from Start to Finish (2024 Edition) Wed, October 30, 2024
On-Demand
Live Replay
Lawyers Serving on Boards
Lawyers Serving on Boards Thu, October 17, 2024
On-Demand
Live Replay
Essential Accounting Principles Every Attorney Should Know
Essential Accounting Principles Every Attorney Should Know
LaPorte CPAs & Business Advisors
On-Demand
Creating a Trial Notebook: From A - Z (Including 1hr of Ethics)
Creating a Trial Notebook: From A - Z (Including 1hr of Ethics) Fri, October 18, 2024
On-Demand
Live Replay
Tax Opportunity Zones (2024 Edition)
Tax Opportunity Zones (2024 Edition)
Blank Rome LLP
On-Demand
Litigating Libel and Defamation Cases
Litigating Libel and Defamation Cases
Callahan & Blaine, APLC.
On-Demand
Will Drafting 101 (2024 Edition)
Will Drafting 101 (2024 Edition)
Partner, Davenport Evans Lawyers
On-Demand
Federal Indian Law 101 (2024 Edition)
Federal Indian Law 101 (2024 Edition)
Holland & Knight LLP
On-Demand
Upcoming CLE Webinars
Inside Secrets to Getting Rid of Tax Penalties (2024 Edition)
Inside Secrets to Getting Rid of Tax Penalties (2024 Edition) Wed, October 16, 2024
On-Demand
Live Replay
Medical Records A-Z: What attorneys need to know (2024 Edition)
Medical Records A-Z: What attorneys need to know (2024 Edition) Wed, October 16, 2024
On-Demand
Live Replay
Lawyers Serving on Boards
Lawyers Serving on Boards Thu, October 17, 2024
On-Demand
Live Replay
Creating a Trial Notebook: From A - Z (Including 1hr of Ethics)
Creating a Trial Notebook: From A - Z (Including 1hr of Ethics) Fri, October 18, 2024
On-Demand
Live Replay
Maritime Finance 101
Maritime Finance 101 Wed, October 23, 2024
Live Webcast
Gun Trust Law (2024 Edition)
Gun Trust Law (2024 Edition) Wed, October 23, 2024
On-Demand
Live Replay
Litigating Defamation Cases (2024 Edition)
Litigating Defamation Cases (2024 Edition) Thu, October 24, 2024
Live Webcast
Real Estate Law Fundamentals
Real Estate Law Fundamentals Tue, October 29, 2024
Live Webcast
Final Accounting: Estate administration essentials
Final Accounting: Estate administration essentials Tue, October 29, 2024
Live Webcast
Judicial Misconduct & Regulating Judicial Ethics
Judicial Misconduct & Regulating Judicial Ethics Wed, October 30, 2024
Live Webcast