Arkansas (AR) Career Competitive Edge CLE Course Catalog

Students and young lawyers often use an "ad hoc" approach treating "every problem as a different problem." Since I have needed to teach students who have never done transactional law how to begin working on complex projects very quickly, I have tried to create a teachable, universal approach to beginning transactional assignments. This approach I will teach holds true whether the solution requires a client call, an internal/external memo, drafting a contract, or prosecuting intellectual property (copyright, trademark, or patent registrations).

This presentation focuses on the main concepts of privacy law, exploring domestic and international laws.

This program is for 0-3 year attorneys who have never experienced transactional law (and maybe even never worked in a law office) to rethink the "litigation-first" perspective that gets ingrained during law school. For a large number of law students interested in working with business transactions, as in-house counsel, in IP prosecution, licensing, etc., we want to provide guidance for what you should be thinking about on your first day of an internship, your first day at a job, or your first day running your own firm. These are tips to distinguish yourself on your first day even if you don't have any direct transactional experience.

The presentation will discuss important concepts such as freedom to operate and patent infringement, how patents compare with trade secrets, and monetizing patents.

Learn about ARMA’s new model for Information Governance, the ARMA Information Governance Implementation Model (IGIM). In this session you’ll get an overview of this new methodology for helping your organization move forward in your Information Governance endeavors. You’ll also learn how this model can also be utilized for maturity assessment and how ARMA is connecting the IGIM to future resources.

This session will use case studies to illustrate how various analytics can identify patterns in data, uncover hidden relationships between people and events, translate coded language, and organize disparate information into logical groups and concepts—helping investigators find the signal in the noise.

Join us for an exciting session on how AI is driving another patent boom. We’ll take a deep dive into the various interdisciplinary fields of AI, including computer vision, deep learning, robotic process automation, and neural networks. Learn what differentiates these categories in terms of utility and patent eligibility.

As privacy has evolved over time, developers of products, technology, networks and business practices have been realizing the importance of incorporating privacy from the beginning instead of as add on. Privacy engineering ensures that privacy considerations are integrated into product design. As technology continues to evolve a rapid pace ,the necessity for privacy engineering will only continue to grow.