West Virginia (WV) Artificial Intelligence CLE Course Catalog

In this session, the panel will discuss how deep learning technology is being used for image classification and object detection and how it will affect the legal industry.

In this session, we’ll explore efficiencies and risk mitigation delivered to contract management via clause libraries and obligation management practices. Together, these CLM technology features hold the keys to accomplishing more work with fewer hours, while maintaining stronger levels of organizational compliance.

Join us as we bring some of the brightest legal experts and tech gurus together for a discussion on eDiscovery trends of the new decade.

f you’re head’s spinning while trying to keep up with the recent explosion of legal AI companies & capraise pressers of the past couple years, this session will slow things down for you. We’ll map out the new LegalTech landscape, key innovations, trendlines, and of course all the expectations that come with that hype. We’ll also profile the biggest players in the VC space and how they’re reshaping our profession.

While there are numerous economic and operational advantages to digital transformation, there are also associated compliance & cyber risks. Experts from Legal, IT & Compliance will share their multi-varied perspectives, war stories, and best practices for confronting these risks.

In this provocative session, we’ll examine the legal implications of algorithmic malpractice

In this eye-opening session, we’ll cut through the hype to underscore legal DApps that are actually within use, with a glimpse into the very bright future of this technology.

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.

As AI increases its role in day to day activities, concerns surrounding both consumer/user and employee data have grown. With the use of AI comes greater amounts of personally identifiable information (PII) data being stored and utilized, but at what cost?As society becomes more comfortable with the gathering and mining of sensitive personal information, the threat of AI will only increase.