eBook
AI Governance and Compliance: Managing Risk in a Fragmented Regulatory Landscape
Understand how AI regulation, Shadow AI, and AI-generated records are changing the way organizations manage information, compliance, and risk.
While AI can help organizations operate more efficiently, it also creates a new governance challenge. Prompts, outputs, uploaded files, logs, and AI-assisted decisions may contain sensitive information or become records that need to be retained, protected, and managed.
That challenge becomes harder when employees adopt AI tools faster than the business can set clear policies, controls, and oversight. Adding to the complexity, AI regulations are developing unevenly across regions and industries.
This eBook helps you understand where AI-related risk appears and how to build a framework that supports responsible use across your organization. It covers:
- How global AI regulation is developing across the EU, the United States, and key state-level frameworks
- Why Shadow AI creates risk when employees use public or unsanctioned tools outside approved systems
- Where AI-related risk appears across departments and how to create policies that address each team’s use case
- What to include in a practical AI governance framework, from inventory and policy to monitoring and response
Download your copy to learn how to reduce risk, improve governance, and bring AI use into your organization’s information management strategy.
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Written by an Access Legal Research Expert
This eBook was written by Adam Koonce, Legal Research Manager at Access. It brings a records and information management perspective to one of the most pressing governance questions facing organizations today: how to adopt AI responsibly while maintaining control over information, decisions, and compliance obligations.
Questions About the eBook
Who Should Read this eBook?
This eBook is designed for those responsible for managing information risk as AI adoption grows across the business.
- Legal and compliance leaders evaluating AI-related regulatory obligations
- Records and information management teams responsible for retention, discovery, and audit readiness
- IT and security teams reviewing approved tools, data controls, and access policies
- Business leaders who want to support AI use without losing control over sensitive information
What format is the eBook?
The eBook is delivered as a PDF. You'll be able to download it right away on the next screen.
Does this eBook provide a framework I can use?
Yes. The eBook outlines practical steps for building an AI governance framework, including inventorying AI use, setting policies and data controls, training employees, involving cross-functional stakeholders, aligning AI activity with records management, and monitoring for risk.
Does the eBook focus only on AI regulation?
No. The eBook explains how AI regulation is developing, but it also covers practical governance challenges such as Shadow AI, data minimization, department-level risk, AI-generated records, and the controls organizations can put in place to manage responsible AI use.
Move AI From Risk Exposure to Governance
Many organizations know AI is creating new risks, but they’re still working through what needs to be documented, controlled, retained, or reviewed. This eBook gives you a practical way to start that conversation across teams.
Identify AI-related information risk
Understand how prompts, outputs, uploaded files, logs, and AI-assisted decisions can create compliance, privacy, retention, and discovery concerns.
Address Shadow AI with clear controls
Learn why unsanctioned AI use creates risk, and how data minimization, approved tools, and employee guidance can reduce exposure.
Build a useful governance framework
See how inventory, policy, training, records management, monitoring, and cross-functional oversight work together to support responsible AI use.
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