Avoiding AI Hallucinations and Legal Exposure: A Governance Framework for Attorneys

John Mirkin | Shuffield Lowman

John Mirkin is an attorney, technologist, and policy advisor specializing in the legal, ethical, and operational implications of artificial intelligence in government, enterprise, and legal settings. He advises organizations on responsible AI adoption, including governance, verification, procurement, and contracting matters such as data use, IP, and liability allocation. As a co-founder of SwiftGov, John works at the intersection of AI, automation, and public-sector compliance, providing practical guidance on AI deployment, workflow automation, and emerging agentic AI applications. A frequent speaker on AI and technology law, he brings a lawyer-focused, real-world perspective grounded in both legal practice and technology implementation.

Legal Focus

• Artificial intelligence adoption and risk management
• AI governance, verification, and compliance
• AI-related contracting, including data use, IP, and liability allocation
• Ethical and professional responsibility considerations tied to AI systems

Professional Experience

• Co-founder, SwiftGov: Advises on AI, automation, and public-sector compliance
• Legal practice counseling clients on AI policy development, deployment, and risk management
• Works with government agencies and enterprise clients on AI adoption and operational considerations
• Provides strategic guidance to technology startups, real estate developers, and Fortune 100 companies

Honors & Awards

• Full-tuition scholarship recipient, University of Florida Levin College of Law

Credentials & Leadership

• Admitted to practice law in Florida
• Frequent speaker on AI, technology law, and practical implementation for professional audiences

Education

• J.D., University of Florida Levin College of Law
• LL.M. in Taxation, University of Florida Levin College of Law
• B.B.A., University of Massachusetts, Isenberg School of Management

Select Media & Speaking

• Regular speaker on AI, technology adoption, and ethical implementation for legal and enterprise audiences

Representative Engagements

• Advising government agencies on AI compliance and professional responsibility
• Supporting enterprise clients with AI deployment, workflow automation, and agentic AI projects
• Providing guidance on AI-related contracts, data use, intellectual property, and risk allocation

Kassi Burns | King & Spalding, LLP

Kassi Burns is Counsel at King & Spalding, LLP in Texas, with over 15 years of experience working at the intersection of litigation, discovery, and artificial intelligence. Her practice focuses on litigation and discovery workflow design, AI governance, and advising clients on integrating AI and machine learning into legal processes. Kassi is actively involved in professional organizations, advocating for awareness and education around emerging technologies in law. She contributes to shaping best practices in AI and legal technology through her roles in national committees and working groups, bringing a practical and informed perspective to the implementation of AI in litigation and discovery.

Legal Focus

• Litigation and discovery strategy
• AI and machine learning integration in legal workflows
• AI governance and compliance in legal practice
• Discovery workflow design and technology-driven process optimization

Professional Experience

• Counsel, King & Spalding, LLP: Advises on litigation, discovery, and AI integration
• Provides consultation on AI workflow design and governance for legal teams
• Guides clients on adopting AI tools responsibly and effectively in legal operations
• Active contributor to legal tech and AI best practices discussions

Honors & Awards

• Fellow, American Bar Foundation

Credentials & Leadership

• Member, State Bar of Texas Law Practice Management Committee
• Steering Committee Member, Sedona Conference Working Group 13 (AI & the Law)
• Active member of multiple legal organizations advocating for emerging technology education

Education

• B.B.A, Henderson State University
• J.D., Tulane University

Select Media & Speaking

• Provides insights on AI governance, emerging technology, and legal workflow optimization
• Engages in thought leadership on practical applications of AI in litigation and discovery

Representative Engagements

• Consulting on AI-assisted discovery and litigation workflows
• Advising clients on integrating machine learning tools into legal processes
• Participating in national working groups to establish AI best practices and governance standards

Tanya Canup | King & Spalding, LLP

Tanya K. Canup is counsel at King & Spalding, recognized nationally for her expertise in dispute resolution and E-Discovery. Her practice focuses on complex information governance and E-Discovery for Fortune 100 and 500 companies, with a particular emphasis on emerging data sources and artificial intelligence. Tanya regularly advises clients on developing defensible data management policies, navigating AI-related legal issues, and leveraging technology to streamline discovery in large-scale litigation. She has significant experience managing high-stakes litigation and investigations, helping clients use advanced technologies, including AI-powered tools, to control costs and maintain efficiency while ensuring discovery remains focused and proportional.

Legal Focus

• Complex information governance and E-Discovery
• AI-related legal considerations and emerging data sources
• Data management policies and litigation compliance
• Technology-assisted review and discovery efficiency

Professional Experience

• Counsel, King & Spalding: Advises Fortune 100 and 500 companies on E-Discovery and information governance
• Manages discovery in high-stakes litigation and investigations
• Implements technology solutions to streamline data collection, review, and production
• Guides clients on AI adoption in legal workflows and discovery

Honors & Awards

• Legal 500 US: Rising Star in Dispute Resolution – E-Discovery (2023, 2024)
• Legal 500 US: Leading Associate and Other Key Lawyer (2025)

Credentials & Leadership

• Counsel at a leading international law firm
• Recognized thought leader in technology-driven discovery and information governance

Education

• J.D., The University of Alabama, Magna Cum Laude
• M.B.A., The University of Alabama
• B.A., Tulane University

Select Media & Speaking

• Advises on legal and operational implications of AI and emerging data sources in discovery
• Provides guidance on defensible data management and E-Discovery strategies for enterprise clients

Representative Engagements

• Managing discovery in large-scale, high-stakes litigation and investigations
• Advising Fortune 100 and 500 companies on AI-assisted discovery and advanced data management
• Developing defensible policies and technology strategies to control discovery costs and efficiency

I. Generative AI in Law: How It Works, How to Use It, and How to Manage the Risk | 1:00pm – 2:00pm

This CLE provides a practical, lawyer-focused guide to generative AI in real-world legal and business settings. We will start with a concise guide of how large language models work at a useful level for attorneys, then translate that into actionable guidance for responsible adoption in legal practice, including confidentiality, verification, and malpractice risk. The session will also cover the contracting issues that come up when clients buy, build, or sell AI-enabled services, and close with a practical view of deployment in government and enterprise environments, including procurement and governance controls, plus a brief look ahead at agentic AI beyond chatbots.

It explores the practical implications of generative AI for attorneys, highlighting real-world scenarios where AI intersects with client advice, litigation strategy, and business operations. Lawyers will gain insight into identifying potential pitfalls in AI outputs, understanding their professional obligations when supervising AI-assisted work, and mitigating liability in fast-evolving technology contexts. The discussion also addresses strategic considerations when negotiating or reviewing AI-related contracts, with an emphasis on protecting intellectual property, managing security risks, and allocating responsibility effectively. Participants will examine how organizations—both public and private—structure AI adoption and governance to ensure compliance and operational efficiency.

Break | 2:00pm – 2:10pm

II. Practical AI Integration for Lawyers: Efficiency, Ethics, and Governance | 2:10pm – 3:10pm

Generative AI tools are rapidly entering legal practice, but effective integration requires intentional design. This CLE session moves beyond headline-grabbing predictions to address the practical questions attorneys face: How do you identify workflows where AI delivers genuine efficiency gains? What upfront investment is required to implement AI thoughtfully? How do you establish governance structures that enable innovation while maintaining professional responsibility? Attendees will leave with concrete frameworks for assessing AI opportunities, implementing tools responsibly, and establishing sustainable governance practices.

It focuses on translating AI knowledge into actionable workflow improvements and strategic decision-making. Attorneys will learn how to evaluate which tasks benefit most from AI, optimize processes without compromising quality, and measure the impact of technology on efficiency and cost. The session also covers establishing ongoing oversight mechanisms, monitoring tool performance over time, and creating repeatable systems that maintain ethical standards and client trust in AI-augmented practice.