AI in Real World Litigation Scenarios: Understanding Litigation-Focused Applications and Addressing Potential Pitfalls
Raising Awareness About the Need For Explainability, "Lost in the Middle" Issues, and "Hallucinations"

Course Details
- smart_display Format
On-Demand
- signal_cellular_alt Difficulty Level
Intermediate
- work Practice Area
Class Action and Other Litigation
- event Date
Tuesday, June 4, 2024
- schedule Time
1:00 p.m. ET./10:00 a.m. PT
- timer Program Length
90 minutes
-
This 90-minute webinar is eligible in most states for 1.5 CLE credits.
This CLE webinar will illustrate AI's relevant applications in the legal sector with a specific focus on litigation, while also raising awareness about potential problems such as the need for explainability, the "lost in the middle" issues, and the phenomena of "hallucinations." Attendees should walk away with an understanding of AI's growing role in litigation, its strengths, and its limitations to better apply this technology in practice. Attendees should also have actionable knowledge enabling more effective and forward-thinking strategies in their legal practice.
Faculty

As Chief Client Solutions Group Officer, Mr. Rueff is responsible for oversight of an innovation team at Baker Donelson which includes responsibilities for knowledge management, legal project management, matter budgeting, pricing, process improvement, machine learning/AI applications and legal research. He regularly works with lawyers and clients to develop unique process, pricing and technology solutions. Prior to law school, Mr. Rueff worked in the technology industry for a hardware and software manufacturer where he was first exposed to project management, agile and the development of software applications for the engineering industry. He has also been a practicing lawyer for more than 20 years, is PMP® certified through the Project Management Institute, is certified in the Toyota Manufacturing Production System (Lean) and is a member of the Professional Pricing Society. As a practicing lawyer, Mr. Rueff's experience included both litigation and transactional matters, but in later years, his practice was primarily focused on the distribution of federal grants to victims of hurricane and flood disasters. Mr. Rueff has staffed and managed project teams in Mississippi, New York, Texas, New Jersey and Louisiana. His experience includes the management and oversight of a program legal department for two years that included a team of 11 attorneys and 20 paralegals.

Mr. Lee has extensive experience litigating IP matters, software related litigation, fraud cases, commercial disputes, class actions, privacy and cybercrime matters, antitrust, and other complex claims. Mr. Lee has most recently obtained several seven figure awards in trials and arbitration matters and has favorably settled a number of other cases with several matters in which combined recoveries were well over $300 million. He has handled complex litigation matters at both Quinn Emanuel and Morgan Lewis before co-founding the firm. Mr. Lee has taught trial advocacy at Stanford Law School.
Description
The rapidly evolving legal technology landscape has carved out a significant role for AI in litigation processes, presenting attorneys with new tools for handling cases, enhancing efficiency, and delivering meaningful results. However, the use of these technologies should be weighed against its potential drawbacks.
AI can benefit litigation processes and has a number of potential uses in areas such as discovery, document review, predictive analytics, case outcome analysis, demand letters, deposition analysis, and more.
The panel will dive into practical case studies showcasing how AI is already being used in real world litigation scenarios and the qualitative and quantitative impacts they have had on these cases, and in industries such as consumer warranty, personal injury, insurance, pharmaceutical, and employment.
The panel will then address some of the potential issues in using AI systems and a checklist to look for when evaluating and using such systems. This includes the ability to have some explainability, a phenomenon known as "lost in the middle" in longer context analysis, and the dreaded hallucination effect, and how to mitigate these risks. This segment will highlight the significance of transparency and ensuring proper understanding of AI reasoning for its litigation applications.
Listen as we offer an understanding of AI's growing role in litigation, its strengths, and its limitations and equip attendees with actionable knowledge enabling more effective and forward-thinking strategies in their legal practice.
Outline
- Overview of artificial intelligence in law
- Case studies of AI application in litigation
- Potential pitfalls
Benefits
The panel will discuss these and other key issues:
- What is the "lost in the middle" issue?
- Where do AI vendors tend to "oversell" the benefits of AI applications?
- Does AI yield cost savings? What kind of cases justify the costs and risks of AI ?
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