Illinois (IL) Technology CLE Course Catalog

Panelists will discuss the importance of collaborative dialogue in successfully implementing AI and identify the key stakeholders necessary to achieve organization-wide success with AI. This session will highlight how different perspectives can contribute to more effective and ethical AI solutions, explore how stakeholder buy-in impacts adoption, and provide a dynamic platform for attendees to identify and discuss the crucial stakeholders necessary for the success of AI initiatives in their organizations.

This discussion will engage participants in developing concrete strategies for drafting, implementing and enforcing AI use policies within their organizations. Panelists will touch on the evolving nature of governance in the face of AI advancements and how governance is changing in reaction to AI, the conversations that need to be had, and anticipated future governance trends. The session will also tackle the challenge of 'shadow IT' -- the use of unauthorized or unmanaged tech by employees -- and offer practical solutions to manage these risks.

We’ll begin the 2024 AI Workshop exploring current, practical applications of AI in the legal sector, emphasizing real-world effectiveness over theoretical potential. Panelists will provide tips and insights on distinguishing between AI tools that offer genuine value and those that are merely overhyped solutions in search of a problem.

For many in-house litigators, managing spend can prove to be the most challenging aspect of litigating a case. However, leveraging your legal ops teams and capabilities, such as collaboration with outside counsel, data mining, collecting metrics, providing predictability of case outcome, and managing legal bills, legal ops can be one of the most effective tools in controlling spend and providing unmatched value to senior leadership. This session will uncover the hidden value of the unique partnership between litigation and legal ops.

Most lawyers went to law school to practice law. Increasingly, however, lawyers need to wear multiple hats working across both the practice and business of law. Learn how technology has started to help legal teams break down the silos of information throughout the client matter lifecycle, from the business of law to the practice of law, and what skills lawyers of tomorrow will need to find success.

Savvy legal technologists are not merely using AI, they are customizing and supercharging it to fit their needs. Learn from professionals at the cutting edge about how they are developing custom Ai models, the powerful use cases for those models, and how you can embrace your inner data scientist to build the Ai models you need (without having to learn lambda calculus).

Ai in legal and eDiscovery has seen a massive surge in adoption. Learn from top eDiscovery luminaries and how they drove adoption. Hear about their in-the-trenches experiences, the challenges they overcame, and how they measured success. Gather practical tips about how to bring Ai into your firm or in-house practice and how to extend the use of active learning to all (or almost all) matters.

Attorneys must wrangle endless amounts of resources during fact-specific litigation research, forcing them to piece together data across multiple websites and products. From finding the proper terminology to combing through a myriad of resources in disparate systems, the process can be time-consuming and inefficient. Using the correct technologies can help users minimize where they search for data and find the specific materials that address their case's topics, facts, and issues more quickly and precisely. This session will focus on empowering litigation professionals to feel confident in their research strategies and best practices for getting fast, intuitive, and actionable insights.

Join this session as our cyber insurance experts consider the current status of cyber insurance, delve into the process and the due diligence required before adopting a policy, and offer insights into the challenges you can face with your policy downstream.