Safeguard Your Organization: The Legal Blueprint to AI Adoption

AI legal risks are tricky. This playbook built with top legal minds helps you stay ahead.

  • Understand AI and LLM regulations
  • Protect your company from legal pitfalls
  • Navigate data privacy biases and IP risks

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AI Adoption Statistics in 2023

35%

of global companies use AI in their business

42%

have reported exploring AI use within their company

50%

plan to incorporate AI technologies in the near future
*Source: McKinsey, IBM, Forbes, Sortlist

Meet The Working Group

Man with glasses, salt-and-pepper beard, and short curly hair wearing a black button-up shirt, sitting in front of bookshelves.
Ken Priore
AGC - Product and
Strategic Partnerships
Portrait of a woman with dark hair wearing a striped blazer and light pink blouse against a black background.
Meg Pirnie Kammerud
Former GC
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Caitlin Hanson
Sr. Manager of Data Governance
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Alesya Nasimova
Director, AGC, Product & Privacy
Smiling woman with long curly blond hair wearing a black blazer in front of a bright window.
Kelly Trimble
Sr. Director of Legal
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Erik Graham-Smith
General Counsel
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Vicky LeVay
Sr. Director of Compliance
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Tyler Finn
Head of Community &
Growth

How To Use This Playbook

Build your AI Policy with Transparency, Support, Trust and Compliance
Transparency and Accountability
Showcase your commitment to openness and clarity in your AI policies. Learn about data usage, privacy measures, and ethical practices to build trust with your customers.
Customer Support and Education
Empowering Through Information. Be proactive in communicating your commitment to responsible AI use. Address specific concerns that customers may have, such as data privacy, bias mitigation, and security measures.
Policy Enforcement and Compliance
Adapting for Tomorrow. This pillar deals with the practical aspects of policy enforcement, monitoring, and ensuring compliance with AI policies, both internally and externally.
List of data privacy principles including communication channels, transparency, privacy and data protection, security measures, accountability, and opt-in and opt-out options, with a thinking robot figure on the right.
Robot holding a tablet with a list of support features: User support, FAQs and documentation, Regular updates, Feedback channels.
Robot holding a gavel with text listing challenges: Monitoring for web-based AI tools, Educational approach, Transition period, Enforcement challenges.

Your Team Is Using AI Today. Are You Prepared For It?

Download The Free Playbook
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Why You Should Be Thinking About An AI Policy

01
Safeguard Data Privacy
Protect sensitive data and ensure compliance in the AI era
02
Risk Mitigation
Minimize legal and operational risks associated with AI usage
03
Competitive Advantage
Gain an edge by implementing AI responsibly and effectively
04
Trust Building
Show clients and partners your commitment to responsible AI use
05
Legal Compliance
Stay ahead of evolving regulations with a clear AI policy
06
Industry Best Practices
Align with industry standards for AI governance and policies

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Anna Claveria Brannan
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Aditi Kapoor
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Micah Nessan
General Counsel at Guideline