Leading Through the Next Phase of GenAI Adoption (Jan. 20, 2026)
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Corporate law departments are heading into 2026 with rising expectations around GenAI, but limited time, uneven adoption, and unclear metrics make it difficult to define meaningful success. Drawing on findings from a comprehensive survey of 657 in-house legal professionals, this 1-hour session cuts through the noise to focus on what’s achievable without overloading already stretched teams.
Join us to explore how leading in-house departments are embedding GenAI into everyday legal work in ways attorneys will actually use, how to build the data and reporting foundations leadership needs to evaluate progress before full ROI is measurable, and how to align executive expectations around what defensible, scalable GenAI progress should look like.
Generously sponsored by Everlaw
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LockedSamantha Ettari
General Counsel
JM Bullion
I am an attorney with extensive litigation and counseling experience. For over a decade, I have maintained a diverse litigation practice focusing on complex commercial litigation, with an emphasis on privacy and data security, advertising litigation, contract and licensing disputes, business tort litigation, and securities and regulatory defense. For the past six years, I have focused on privacy and data security compliance and product counseling. I am a Certified Information Privacy Professional/Europe (CIPP/E), Certified Information Privacy Professional/United States (CIPP/U), and Certified Information Privacy Manager (CIPM). I guide clients through their obligations in the rapidly evolving area of information privacy, counseling clients on U.S. and international privacy laws, product counseling, and establishing and complying with information governance; data retention; and e-mail, text and social media use policies, as well as effecting cost-efficient and compliant data collection, processing and retention.
I am the Chief Privacy Officer at our parent gold.com. I wrote and launched the company’s generative AI acceptable use program and have been closely involved in training and rollout as well as review and approval process for AI tools.
Daniel Lenhoff
Director, AI Law, Cybersecurity and Data Privacy,
KBR, Inc.
Daniel Lenhoff developed and manages the global AI Governance and Data Privacy Programs at KBR, a company that operates in over 60 jurisdictions with over 35,000 employees. Daniel has extensive experience implementing AI in legal work and leads a team that created an internal AI tool that provides answers based on company policies. With experience in Labor & Employment litigation and counseling, he is Board Certified in Labor and Employment Law by the Texas Board of Legal Specialization. He is also an American Bar Association-accredited Privacy Law Specialist and has certifications in AI Governance, Privacy Management, European Privacy Law, and U.S. Privacy Law by the International Association of Privacy Professionals.
Hayden Creque
Director, Assistant General Counsel (Sourcing & Operations)
Palo Alto Networks
I am a corporate counsel and strategic business partner with over 20 years of legal experience across diverse industries. I currently lead the Global Sourcing and Operations Legal Team at Palo Alto Networks and oversee ~$500M+ in annual transactional volume. My background spans commercial contracts, technology transactions, corporate governance, privacy, and intellectual property. Throughout my career, my objective has remained consistent: provide legal guidance that is structurally sound but practically engineered to drive business goals forward.
Beyond traditional legal management, I am deeply interested in the operational reality and implications of artificial intelligence within corporate legal departments. I am a daily, hands-on user of GenAI in a high-volume environment and the author of the Corporate Counsel Now (formerly ACC Docket) cover story, "The AI-Empowered Counsel: A Practical Framework for In-house Legal Teams." My daily practice involves moving past basic prompts to building automated self-service tools for my internal clients.
