New York (NY) Artificial Intelligence CLE Course Catalog

Conversations around generative artificial intelligence are dominating the social stratosphere. By simulating human cognitive thinking, generative AI can produce new types of text, imagery, audio, and synthetic data by using patterns and informational elements obtained from prior works. Because generative AI often relies on pools of data and third-party creations to create new content, there is a concern that generative AI may, whether intentionally or inadvertently, exploit copyright-protected content to develop purportedly original content. Organizations that leverage generative AI tools should be mindful of how the tools are used in a commercial context to mitigate the risk of infringing uses. Likewise, owners of intellectual property should be aware of how their works are used by generative AI models and the users of these tools, and timely action should be taken to defend intellectual property against infringement.

As AI continues to revolutionize various aspects of our lives, concerns about data privacy, security, and ethical implications have become increasingly prevalent. Join this session as we explore the inherent risks and threats that arise when AI interacts with personal data, the type of frameworks that can be introduced to protect your organization, and the ethical conundrums that arise from AI.

Generative AI has taken the legal world by storm in recent months and with its capabilities and sophistication advancing at a rapid pace, many are wondering how this powerful tool can be applied to the legal profession. The most notable leader in this space is OpenText with their leading technology ChatGPT, and whether it's within legal contracts or its use in the courts, the impact could entirely change the way the legal industry moves forward.

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.

At every conference someone asks, “what is AI?” and “how does it apply in eDiscovery”? Our panelists have the answers, and they’ll share them with you – not by trotting out some dry academic definition but via example. By the time this session is done, you too will be able to answer those questions with confidence.

eDiscovery technology went big in 2022, delivering ever more extensive capabilities in eDiscovery and stretching out to other areas such as compliance, cyber, continual monitoring, and more. Hear how our speakers use AI and legal tech to push to and past traditional eDiscovery boundaries – while delivering new solutions that solve old problems more effectively, efficiently, and affordably than ever.

It is not always easy to figure out how to leverage emerging technologies like AI and machine learning. Join our legal experts to learn three practical ways corporate legal departments can start using AI to make an immediate impact.

If you thought the rise of the Internet and services like Napster pushed the boundaries of the law, you ain’t seen nothing yet until you’ve seen artificial intelligence (“AI”). Experienced intellectual property lawyer Peter Afrasiabi provides an overview of AI.