The AI Governance & Strategy Summit: West

October 21, 2026
Palo Alto

Artificial intelligence is reshaping how companies innovate, compete, and create value, creating new challenges for legal leaders tasked with balancing responsible governance, regulatory compliance, and business growth. The Silicon Valley AI Governance & Strategy Summit brings together senior in-house counsel, compliance, privacy, and technology leaders for a practical examination of the legal, regulatory, and strategic issues shaping enterprise AI adoption. From governance frameworks, vendor risk, and evolving regulations to technology protection, dispute readiness, and value creation, the program explores how leading organizations are managing risk, enabling innovation, and building sustainable strategies to maximize the long-term business impact of AI.

 

Co-located with the IP Strategy Summit, participants gain access to both programs through a single registration. Together, the two summits provide a comprehensive perspective on the opportunities and challenges created by emerging technologies – from governance, compliance, privacy, and operational risk to patents, trade secrets, licensing, enforcement, and technology asset strategy.

 

In a market where innovation moves faster than regulation and AI is becoming a critical driver of business growth, the Silicon Valley AI Governance & Strategy Summit offers leaders the opportunity to connect with peers, benchmark emerging approaches, and develop practical strategies for governing risk, enabling innovation, and maximizing the value of AI across the enterprise.

Key Topics
  • Cross-Functional AI Governance: Aligning Legal, IT, HR, and the C-Suite
  • Mitigating Legal Risk in AI: Contracts, Liability, and Vendor Management
  • From Policy to Practice: Building Defensible AI Governance Frameworks
  • Data, Privacy & IP in the Age of AI: Safeguarding the Crown Jewels
  • Agentic AI: Autonomy, Liability, and Legal Accountability
  • Ethics Meets Enterprise: Avoiding Reputational and Regulatory Pitfalls
Attendees
  • C-Suite Leaders (CEO, COO, CTO, CIO, CDO, CDO)
  • Chief Legal Officer
  • General Counsel
  • Deputy, Associate, and Assistant General Counsel
  • Chief Privacy Officer + Privacy Counsel
  • Chief Compliance Officer
  • Chief Information Security Officer + Cybersecurity Counsel
  • Chief Risk Officer
  • Chief Data Officer
  • Chief AI Officer / Head of AI
  • VP & Director of Legal Affairs/Compliance/Privacy/Data Governance
  • Technology Counsel
  • Data Protection Counsel
  • Regulatory & Compliance Counsel
  • Legal Operations Leaders
  • Information Security Managers
  • Privacy Compliance Managers
  • Data Governance Professionals

Agenda

7:50 am
Registration Opens + Breakfast
8:50 am
Opening Comments
9:00 am
Data, Privacy, and IP in the Age of AI: Safeguarding the Crown Jewels

Data is the lifeblood of AI and the primary source of risk. As organizations leverage data to train models and automate decisions, privacy, security, and intellectual property concerns multiply. Protecting sensitive assets and maintaining trust has become a strategic imperative for every business using AI.

 

This panel will explore:

  • How organizations ensure lawful data use, provenance, and training transparency.
  • Methods for protecting trade secrets, IP, and proprietary datasets in AI systems.
  • Best practices for embedding privacy and security controls across the AI lifecycle.
  • Case studies of effective data governance programs that balance utility and protection.
Derek Care
Senior Director, Privacy & Cybersecurity Legal
Uber
Anisha Mangalick
Assistant General Counsel
Intuit
Charlie Lin
Co-Founder & Senior Director, AI
Gen
9:45 am
Cross-Functional AI Governance: Aligning Legal, IT, HR, and the C-Suite

AI risk management demands collaboration across every department—from engineering to HR to executive leadership. Effective governance requires shared accountability and unified decision-making frameworks. Aligning business, technical, and legal priorities is key to balancing innovation with responsible oversight.

 

This panel will explore:

  • How cross-functional teams are managing AI oversight across business units.
  • Structures that balance innovation with legal and compliance needs.
  • The role of leadership buy-in and clear decision rights in effective AI governance.
  • Lessons from organizations that have successfully implemented integrated frameworks.
Lindsay Harris
Director of Human Resources
Interstate Equities Corporation
Aaron Ta
Senior Privacy and AI Governance Manager
Datadog
10:30 am
Networking Break
11:10 am
Agentic AI: Autonomy, Liability, and Legal Accountability

AI systems capable of independent reasoning and decision-making are redefining accountability in real time. These “agentic” technologies blur the line between tool and actor—challenging existing legal and governance frameworks. As autonomy grows, oversight, explainability, and documentation are becoming essential safeguards for organizations.

 

This panel will explore:

  • The unique risks and accountability gaps posed by autonomous AI systems.
  • Frameworks for oversight, auditability, and human-in-the-loop assurance.
  • Legal and regulatory developments defining responsibility in agentic AI use.
  • Practical strategies to ensure traceability and control in self-directed systems.
Lily Toy
Chief Legal Officer
Stack Overflow
Michelle Morad
Senior Product Counsel, AI
Roblox
Martin Arastafar
Assistant General Counsel, IP
Veeva Systems
11:55 am
Mitigating Legal Risk in AI: Contracts, Liability, and Vendor Management

As AI systems become embedded in every business function, questions around contractual responsibility, indemnity, and shared risk have intensified. The legal frameworks governing AI vendors are still evolving, leaving many companies exposed to uncertainty. Organizations must now find practical ways to manage liability while enabling innovation and scalability.

 

This panel will explore:

  • Common gaps and risk allocation challenges in AI vendor and partner agreements.
  • Practical approaches to liability, indemnity, and service-level terms for AI products.
  • How to structure defensible vendor ecosystems that align with compliance expectations.
  • Strategies for future-proofing contracts as AI regulation advances.
Belinda Luu
Strategic Leader of AI & Data Governance and Management | Senior Counsel
Kaiser Permanente
12:40 pm
Lunch + Networking
1:25 pm
Ethics Meets Enterprise: Avoiding Reputational and Regulatory Pitfalls

Embedding ethics into AI development and deployment is no longer just good practice; it’s good business. As public awareness and regulatory scrutiny increase, organizations must ensure their innovation aligns with values of fairness, transparency, and accountability. Strong ethical governance can both mitigate reputational risk and drive sustainable, trusted innovation.

 

This panel will explore:

  • Practical strategies for integrating ethical principles into AI program design.
  • Managing reputational risk and public trust in high-profile or sensitive use cases.
  • The role of cross-functional review committees and governance boards.
  • How transparency and stakeholder engagement can mitigate emerging risks.
Dalene Bramer
Senior Director, Global Labor and Employment
Uber
2:10 pm
From Policy to Practice: Building Defensible AI Governance Frameworks

As AI adoption accelerates, organizations are challenged to move beyond policies written on paper to frameworks that work in practice. Governance must now be demonstrable, defensible, and integrated into daily decision-making. Companies across industries are redefining accountability, transparency, and oversight as core components of their AI strategy.

 

This panel will explore:

  • How companies are structuring AI governance internally and reporting to executive leadership.
  • Benchmarking frameworks and oversight models across industries.
  • Actionable steps for turning AI governance policies into real operational workflows.
  • Building defensible programs that can adapt to evolving regulation and technology.
Irvin Tyan
General Counsel
Thread
2:55 pm
Bar Opens – Get a Drink and Join the Cocktail Roundtables
3:05 pm
Cocktail Roundtables

Rotating, 20-minute discussions hosted by a topic expert

Roundtable 1: Operationalizing AI in Legal Practice

Roundtable 2: Mitigating Legal Risk in AI

Roundtable 3: Third-Party AI Risk: Compliance and Governance Strategies

4:25 pm
Closing Comments

Speakers

Lindsay Harris
Director of Human Resources
Interstate Equities Corporation
Belinda Luu
Strategic Leader of AI & Data Governance and Management | Senior Counsel
Kaiser Permanente
Dalene Bramer
Senior Director, Global Labor and Employment
Uber
Aaron Ta
Senior Privacy and AI Governance Manager
Datadog
Derek Care
Senior Director, Privacy & Cybersecurity Legal
Uber
Anisha Mangalick
Assistant General Counsel
Intuit
Lily Toy
Chief Legal Officer
Stack Overflow
Michelle Morad
Senior Product Counsel, AI
Roblox
Martin Arastafar
Assistant General Counsel, IP
Veeva Systems
Irvin Tyan
General Counsel
Thread
Charlie Lin
Co-Founder & Senior Director, AI
Gen

Sponsors

Pricing

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