Continuing Education Information Sheet

• Explain the fundamentals of artificial intelligence and machine learning
• Identify practical applications of AI in the legal industry, including eDiscovery
• Assess the current and future impact of AI on the legal profession
• Adapt to AI developments while upholding ethical and legal standards

Intended audience: Attorneys wanting to understand how AI works, what it can be used for, and its limitations in legal practice.

Level: beginner

Prerequisites: None

• Daniel B. Garrie, Founder, Law & Forensics; Neutral at JAMS; Faculty at Harvard

  Law & Forensics LLC · JAMS · Harvard · Rutgers Law School · Journal of Law & Cyber Warfare

  Daniel B. Garrie is the founder and executive managing partner of Law & Forensics LLC, a boutique cybersecurity and forensic engineering firm he co-founded in 2008. He serves as a neutral, arbitrator, and forensic special master at JAMS, focusing on cybersecurity, cryptocurrency, and complex technology disputes, and holds faculty appointments at Harvard and Rutgers Law School. A patented software inventor and prolific author, he is editor-in-chief of the Journal of Law & Cyber Warfare and a widely cited authority on computer forensics, eDiscovery, and cyber litigation.

• David Harvey, Barrister; Judge (Ret.)

  Judge David Harvey (Ret.) is a barrister and a member of Sangro Chambers in Auckland, New Zealand, who served as a District Court Judge for 32 years. An award-winning academic on law and information-and-communications-technology matters, he authored the leading New Zealand texts internet.law.nz and Collisions in the Digital Paradigm, and has presented widely on how technology can improve court and judicial processes and access to justice. He speaks on artificial intelligence in the legal profession, including its practical applications and the ethical and legal considerations of its adoption.

• Shawnna Hoffman, President, Guardrail Technologies

  Guardrail Technologies

  Shawnna Hoffman is president of Guardrail Technologies, a company working on responsible and ethical AI, and is a stakeholder in the UN Internet Governance Forum's Dynamic Coalition on Blockchain Assurance and Security, representing the Government Blockchain Association. She previously served as global co-leader of IBM's Cognitive Legal practice. She co-founded Women in eDiscovery and Women in AI & Blockchain, and co-authored eDiscovery Plain & Simple. At Legal Cyber Academy, Shawnna Hoffman teaches on the impact of artificial intelligence on the practice of law.

• Ben Colman, Co-Founder and Chief Executive Officer, Reality Defender

  Reality Defender

  Ben Colman is co-founder and chief executive officer of Reality Defender, a deepfake detection company. He has scaled multiple companies at the intersection of cybersecurity and data science over 15 years. Before founding Reality Defender he led cybersecurity commercialization at Goldman Sachs and worked with the partnerships team at Google. On April 16, 2024 he spoke before the U.S. Senate Subcommittee on Privacy, Technology, and the Law at its hearing "Oversight of AI: Election Deepfakes." He holds an MBA from NYU Stern and a bachelor's degree from Claremont McKenna College. At Legal Cyber Academy, Ben Colman teaches on the impact of AI on the practice of law.

Legal Cyber Academy is not an accredited provider; the notes below explain how a learner may self-submitthis activity where their board permits. The pathways shown reflect this course’s subject matter. Always confirm your board’s current rules.

• Addresses legal ethics / professional responsibility — may qualify for ethics-specialty CLE where your jurisdiction recognizes it.

• CLE (attorneys)up to 0.9 hr (60-min basis)

  Many U.S. jurisdictions let an attorney apply for CLE credit for a non-accredited program (often called individual attorney or self-application). Use this certificate plus the course Information Sheet as your supporting documentation. Your state bar or CLE board decides whether credit is granted, how much, and any self-study cap.

• CE / CPD (privacy, insurance, IT)up to 0.9 hr (60-min basis)

  Where your professional body recognizes self-reported or self-directed learning (CPD) — for example many privacy (CIPP/CIPM) and security certifications — record this activity using the certificate and Information Sheet. Confirm your program's self-reporting rules and any documentation it requires.