US Law Firm Integrates Darktrace to Strengthen AI Governance Framework
The integration of Darktrace's SECURE AI™ marks a pivotal shift for a U.S. public interest law firm, as it navigates the complexities of AI governance and employee adoption. Discover how this transition is reshaping their approach to technology and client confidentiality.
Key Facts
- 80% of users adopted Claude, but 17% used unapproved OpenAI, highlighting governance gaps.
- Rapid AI adoption outpaced governance, risking sensitive data exposure and compliance issues.
- Evidence-led insights shifted strategy from assumptions to informed decisions on AI tool usage.
- Visibility into AI interactions revealed potential duplicate spending and ungoverned workflows.
- Transparency in monitoring fosters trust, essential for responsible AI adoption and employee buy-in.
Summary
Summary
A US-based public interest law firm faced challenges in managing the rapid adoption of AI tools among its employees. To address this, the firm implemented Darktrace / SECURE AI™, which provided visibility into AI usage and informed governance decisions. As a result, the firm shifted from assumptions to evidence-led governance, enhancing its ability to support responsible AI adoption.
Background
The law firm specializes in high-impact class actions, consumer protection, and corporate accountability. Before deploying Darktrace, the firm struggled with understanding how employees were using AI tools like Claude and Microsoft Copilot, leading to uncertainty in governance and policy enforcement.
Challenge
The firm needed to address the rapid and unpredictable adoption of AI tools by employees. Without visibility into actual usage, it was difficult to confirm whether employee behavior aligned with internal expectations, complicating policy creation and enforcement.
Solution
The firm joined the Darktrace / SECURE AI early adopter program, which allowed for a passive deployment that did not disrupt employee workflows. Darktrace provided a centralized view of AI activity, enabling the firm to assess risk and understand how AI tools were being utilized across the organization. The systems engineer employed risk scoring, prompt review, and Shadow AI service discovery to investigate AI interactions.
Results
The implementation of Darktrace / SECURE AI revealed that 80% of active users were using Claude, aligning with expectations, while 17% were using OpenAI, an unapproved tool. This data shifted the conversation from whether employees were using AI to how they were using it, allowing the firm to make informed governance decisions.
Key Insights
Organizations need to establish visibility into AI usage to create effective governance. Understanding actual employee behavior is crucial for developing policies that reflect real-world practices, ensuring responsible AI adoption without stifling innovation.
Customer Testimonial
“I can provide proof with this and say, ‘Yeah, actually AI is incredibly valuable and people are using it.’” — Systems Engineer, US-based public interest law firm
Entities Mentioned
Companies
Products
Technologies
People
Organizations
Key Concepts
Definitions
- AI governance
- The framework and processes that organizations use to manage the risks and responsibilities associated with the use of artificial intelligence.
- Shadow AI
- Unapproved AI tools and services that employees use without formal organizational oversight.
- evidence-led decision making
- Making decisions based on actual data and insights rather than assumptions or predictions.
- responsible AI adoption
- The practice of integrating AI technologies in a way that is ethical, secure, and aligned with organizational policies.
- visibility in AI usage
- The ability to monitor and understand how AI tools are being utilized within an organization.
Use Cases
- →Monitoring AI tool usage
- →Identifying unapproved AI services
- →Guiding employee AI practices
- →Supporting policy development
- →Enhancing productivity through AI
- →Balancing control with enablement in AI adoption
Frequently Asked Questions
What is the role of Darktrace / SECURE AI in AI governance?
Darktrace / SECURE AI provides visibility into AI tool usage, helping organizations understand employee behavior and align it with approved strategies. This insight allows for more informed governance decisions.
How does the firm ensure responsible AI adoption?
The firm promotes responsible AI adoption by establishing clear guidelines and providing support through AI office hours. They also utilize data insights to shape their policies and practices.
What challenges does the firm face with AI adoption?
The firm faces challenges such as rapid AI adoption outpacing governance processes and the need for visibility into how employees are using AI tools. This can complicate policy enforcement and risk management.
What is Shadow AI and why is it a concern?
Shadow AI refers to unapproved AI tools that employees may use without oversight. It poses risks related to data security and compliance, making it essential for organizations to monitor and manage these tools.
How can organizations balance innovation with governance in AI?
Organizations can balance innovation with governance by implementing visibility tools that allow them to monitor AI usage while providing employees the freedom to explore new technologies responsibly.