Partner, Zeichner Ellman & Krause LLP
Yoav Griver is a partner at Zeichner Ellman & Krause LLP, where his practice addresses technology, intellectual property, and cybersecurity litigation. He teaches on generative AI intellectual property challenges and current eDiscovery practice.
Cyber IncidentsThis seminar offers a practical overview of phishing and social engineering for legal, business, and security professionals, covering how different types of phishing attacks work, who they target, and the fallout from recent major campaigns, while sharing concrete steps organizations can take to reduce their exposure, including a look at the evolving insurance landscape for these incidents.
Yoav Griver
eDiscoveryPanelists explain what trade secrets are, why they lead to disputes, and how the Defend Trade Secrets Act addresses them—including its limitations and the ongoing disagreement among courts over identification requirements. They then walk through how alternative dispute resolution can offer a more practical path for both sides compared to prolonged litigation, and clarify how trade secrets differ from other forms of intellectual property.
Yoav Griver
eDiscoveryPanelists explain what electronically stored information and eDiscovery mean in practice, covering what data can and cannot be accessed and how the process works. The discussion also addresses the ethical responsibilities legal and security teams carry, the consequences of falling short, and how AI-assisted review tools such as TAR 1.0 and TAR 2.0 are shaping the field.
Yoav Griver
eDiscoveryParticipants learn what special masters and discovery referees do, how they differ from one another, and why their use has grown since COVID, with a real case example to illustrate. The session also covers the relevant Federal Rules of Civil Procedure and practical guidance on how to select and retain these professionals in ADR proceedings.
Yoav Griver
Cyber IncidentsThis course examines how generative AI tools raise unresolved intellectual property questions—including the use of copyrighted materials in training data, ownership of AI-generated output, and compensation rights—drawing on recent U.S. and European cases to help developers, creators, and users understand current legal frameworks and anticipate where the law is likely to move.
Yoav Griver
