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Responsible AI for In-House Counsel: Ethics, Governance & Practical Applications

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17 Dec, 2026 | 
12:00pm EST
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60mins
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Virtual event
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1.0 CLE Credit (Ethics)

A year-end ethics course to help legal teams prepare for AI in 2027.

AI is moving into legal work faster than policies and professional guidance can keep pace. In-house counsel are being asked to evaluate tools, advise business teams, protect sensitive information, and decide where human judgment must remain in control. As generative and agentic AI become more capable, those decisions carry real consequences for clients, organizations, and the lawyers responsible for the work.

Join us for a practical, one-hour ethics course on applying existing professional responsibility rules to AI in the workplace. Through real-world scenarios, recent ethics guidance, judicial decisions, and evolving regulation, we’ll explore how in-house legal teams can support responsible AI use while meeting their professional obligations.

The course covers competence, confidentiality, supervision, independent professional judgment, and client communication, with practical applications for AI-assisted drafting, contract workflows, legal research, litigation, meeting assistants, and enterprise AI governance. You’ll also examine the emerging oversight challenges of agentic systems and how to prepare for the next generation of AI in legal practice.

What You’ll Learn

  • Apply existing professional responsibility rules, including ABA Formal Opinion 512, to generative AI, agentic AI, and emerging technologies
  • Identify ethical, legal, and governance considerations in enterprise AI adoption
  • Evaluate AI tools and vendors for legal risk, confidentiality, privacy, and responsible governance
  • Recognize where human review and independent judgment remain essential
  • Address risks such as inaccurate outputs, AI misuse, privilege concerns, and autonomous actions
  • Build practical approaches for integrating AI into legal operations while maintaining professional obligations
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Responsible AI for In-House Counsel: Program Agenda 

Ethics in the Age of AI

  • Examine how professional responsibility rules apply to generative AI, agentic AI, and emerging technologies, including competence, confidentiality, supervision, candor, and independent professional judgment.
  • Consider AI’s capabilities and limitations, human oversight, transparency, and the importance of verifying outputs.

The Evolving Legal Landscape

  • Review ABA Formal Opinion 512, state ethics guidance, court decisions involving AI misuse, and emerging AI legislation.
  • Discuss how hallucinations and other AI-related risks can affect professional responsibility and organizational governance.

Practical AI Scenarios for In-House Counsel

  • Explore considerations for selecting enterprise AI platforms and evaluating vendors, including privacy, confidentiality, intellectual property, procurement, and enterprise controls.
  • Apply human review and legal judgment to AI-assisted contract drafting and lifecycle management.
  • Consider consent, privilege, confidentiality, retention, and governance when using AI meeting assistants and workplace collaboration tools.

Looking Ahead: AI Use as Part of Legal Practice

  • Compare generative and agentic AI and consider the governance challenges of increasingly autonomous systems.
  • Discuss human-in-the-loop and human-on-the-loop oversight, accountability, and how legal departments can prepare for emerging AI use.

Q&A

  • Audience questions and practical takeaways

Speakers

Albina Torre-Guasto
Albina Torre-Guasto, Esq.
Attorney
Axiom

Albina Torre-Guasto, Esq. is a senior technology, product, and privacy attorney with more than 20 years of experience. She began her career as a litigator and trial attorney before transitioning to senior in-house and product counsel roles, advising Fortune 100 and high-growth technology companies.

Alongside her work at Axiom, for the past four and a half years, Albina has served as President and Founder of Valmar Legal Consulting, advising corporate legal departments and technology companies on Generative and Agentic AI governance, product strategy, data privacy, cybersecurity, complex technology transactions, and enterprise risk. She has developed AI governance frameworks, guided cross-functional teams through the development and launch of AI-enabled products, led and supervised legal professionals, and counseled executive stakeholders on responsible innovation in complex global regulatory environments.

Drawing on her experience in litigation, corporate legal leadership, and emerging technology, Albina brings an executive-level, practical perspective to AI ethics and governance, as well as the evolving professional obligations of in-house counsel.

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This is a 60-minute CLE program offering up to 1 CLE credit.

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Responsible AI for In-House Counsel: Program Agenda 

Ethics in the Age of AI

  • Examine how professional responsibility rules apply to generative AI, agentic AI, and emerging technologies, including competence, confidentiality, supervision, candor, and independent professional judgment.
  • Consider AI’s capabilities and limitations, human oversight, transparency, and the importance of verifying outputs.

The Evolving Legal Landscape

  • Review ABA Formal Opinion 512, state ethics guidance, court decisions involving AI misuse, and emerging AI legislation.
  • Discuss how hallucinations and other AI-related risks can affect professional responsibility and organizational governance.

Practical AI Scenarios for In-House Counsel

  • Explore considerations for selecting enterprise AI platforms and evaluating vendors, including privacy, confidentiality, intellectual property, procurement, and enterprise controls.
  • Apply human review and legal judgment to AI-assisted contract drafting and lifecycle management.
  • Consider consent, privilege, confidentiality, retention, and governance when using AI meeting assistants and workplace collaboration tools.

Looking Ahead: AI Use as Part of Legal Practice

  • Compare generative and agentic AI and consider the governance challenges of increasingly autonomous systems.
  • Discuss human-in-the-loop and human-on-the-loop oversight, accountability, and how legal departments can prepare for emerging AI use.

Q&A

  • Audience questions and practical takeaways
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