AI in Cryptocurrency, Blockchain & Cybersecurity: Legal Risks and Practical Applications

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About Course

This one-hour CLE course provides attorneys and legal professionals with a focused, real-world look at how Artificial Intelligence is transforming the legal landscape of cryptocurrency, blockchain, and cybersecurity. From fraud detection to regulatory compliance, participants will explore cutting-edge AI applications that address the unique challenges of digital assets and cyber threats. 

The program examines how AI is integrated into blockchain ecosystems, its role in cryptocurrency litigation and compliance, and how it supports proactive cybersecurity measures. Attendees will also gain critical awareness of the risks, limitations, and ethical implications of AI in this fast-evolving field, including confidentiality, privilege, and emerging regulations. 

By the end of the course, participants will leave with practical strategies for integrating AI tools into their practice while maintaining ethical compliance and minimizing risk. 

Learning Objectives 

By completing this course, participants will be able to: 

  • Explain the fundamentals of blockchain, cryptocurrency, and cybersecurity relevant to legal practice. 
  • Identify key AI applications for fraud detection, compliance monitoring, and smart contract analysis. 
  • Assess cybersecurity risks and mitigation strategies using AI in legal workflows. 
  • Recognize ethical and regulatory considerations in applying AI to digital asset and cybersecurity matters.
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What Will You Learn?

  • How AI is being used for AML, KYC, and blockchain forensics in legal contexts.
  • Strategies for integrating AI into cyber risk management and incident response.
  • Key pitfalls and ethical concerns in using AI for cryptocurrency and blockchain matters.
  • An overview of evolving laws and regulations impacting AI in the digital asset space.

Course Content

Welcome and Housekeeping
Introduction of presenters and overview of course structure Webcast tools and participation instructions Reference to materials and attendance codes

Setting the Stage: AI Meets Crypto, Blockchain & Cybersecurity
Brief primer on blockchain and cryptocurrency fundamentals relevant to legal practice Key cybersecurity threats in the digital asset space (ransomware, phishing, smart contract exploits) How AI is integrated into blockchain ecosystems (fraud detection, predictive analytics, transaction monitoring) Legal contexts where attorneys are encountering these intersections

AI Applications in Blockchain & Cryptocurrency Law
AI for fraud detection and AML/KYC verification Smart contract analysis for vulnerabilities and compliance AI-driven monitoring of evolving crypto regulations (OFAC, SEC, FinCEN) Blockchain forensics for litigation, asset recovery, and tracing stolen crypto

Cybersecurity & Legal Risk Management with AI
AI for proactive threat detection in legal and client systems Incident response automation to reduce breach impact Data privacy and privilege concerns in AI cyber investigations ABA Model Rule obligations when using AI tools

Risks, Ethics, and Policy Readiness
AI hallucinations and potential legal consequences in blockchain disputes Confidentiality risks when using public AI tools with sensitive crypto/cyber data Copyright and IP concerns in AI-generated smart contracts Preparing an internal AI & digital asset policy (approved tools, safe prompting, compliance checklists) Overview of emerging AI + blockchain regulations (EU AI Act, MiCA, U.S. state-level laws)

Q&A and Practical Wrap-Up
Real-world examples of AI in blockchain/cyber law from recent cases Checklist for integrating AI responsibly into digital asset legal work

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