4 minutes

Real-world AI-adoption use case and guidance for working with different attitudes toward AI, with example types of users—plus, advice on approaching technology shifts: a phased implementation framework and tips for managing change.
Written by
Monica McClure
Published on
September 5, 2025

This article shares insights from an Eve customer’s successful firm-wide adoption of AI. This 270+ person firm’s implementation approach articulates an interesting adoption reality—a dynamic created by humans being human, and bringing a range of distinct feelings, habits, ideas, and preconceptions about technology change to the AI adoption process. This case study demonstrates how to work with, rather than against, the diverse responses of legal professionals to AI adoption. This plaintiff law firm’s experience has shown that user behaviors and attitudes that may initially appear to be challenges may actually turn out to be advantages—if firms know how to leverage their staff’s different attitudes, roles, and skill sets strategically.  

This large firm’s approach may prove instructive for other firms, of any size,  seeking to implement AI and make it stick. First, let’s explore the friction you can expect to experience and why it may occur. 

Adopting AI: Concerns and Challenges
  • A large percentage of employees are unfamiliar with AI technology
  • Varying comfort levels with new software across different roles
  • Need to maintain high service standards during transition
  • Ensuring consistent usage across all departments

Rather than forcing staff into the same mold or expecting universal enthusiasm from day one, this firm created an environment where power users could innovate, standard users could succeed with straightforward tools, and skeptical users could take their time to see the value for themselves.

Types of AI Users: Working with Different Adoption Styles

The Power Users: took the AI tools and ran with them in ways nobody expected. These employees became the firm's internal innovators, discovering new applications and inspiring their colleagues with creative solutions.

The Standard Users: embraced the pre-built workflows, used the "buttons" consistently, and integrated AI into their daily routines without drama or fanfare. They're the ones who proved that AI could become as natural as checking email—just another tool that makes their workday more efficient.

The Skeptical Users: started with legitimate concerns about accuracy, job security, or simply learning yet another new system. But after seeing concrete results—watching a settlement analysis that used to take hours, completed in minutes—they became some of the most vocal supporters.

Surprisingly, perhaps, this diverse adoption pattern strengthened the overall implementation, creating a natural support network where enthusiastic early adopters helped mentor more cautious colleagues, proving that successful AI implementation isn't about converting everyone to tech evangelists overnight—it's about giving each person a path to success that matches their comfort level and working style. See the proven legal AI adoption framework below: 

Successful AI Adoption Framework 

Strategic Pre-Planning

  • Ethical compliance first: Ensured all AI usage met professional responsibility requirements
  • Infrastructure preparation: Verified integration capabilities with existing systems
  • Team assembly: Created a dedicated implementation team with clear roles

User-Centric Approach

  • Department autonomy: Allowed each practice area to customize their implementation
  • Immediate value focus: Led with dramatic time savings rather than technical capabilities
  • Support infrastructure: Comprehensive help desk and training resources

 Change Management Excellence

  • Over-communication: Regular updates about new features and capabilities
  • Accountability without micromanagement: Usage monitoring focused on support, not punishment
  • Verification emphasis: Consistent messaging about the need to verify all AI output

Continuous Improvement

  • Usage trend analysis: Identifying successful applications for broader deployment
  • Regular training: Ongoing sessions as platform capabilities evolve
  • Feedback integration: Using employee suggestions to refine workflows
AI Adoption Advice for Other Firms

Start with Infrastructure. First, ensure an ethical compliance framework is in place (consider drafting a Responsible Use Policy)  and verify that existing systems and capabilities can integrate with your AI tools. Next, assemble a dedicated implementation team that can demonstrate dramatic, immediate “wow factors” to their departmental colleagues by utilizing the AI tools in the highest-impact, most time-consuming tasks first.  Shifting the focus from features to the value these capabilities provide will win hearts and minds. 

Invest in Change Management

  • Provide comprehensive training and support
  • Establish clear communication channels
  • Monitor adoption while supporting users

Continue to Innovate to Discover Additional Competitive Advantages

As users become more sophisticated and discover creative applications, new use cases will emerge regularly. 

The successful implementation of this firm has positioned them as a technology leader in their market, improving both operational efficiency and client service quality. Their methodical approach to large-scale AI implementation, along with the way they allowed users to discover the benefits through supervised experimentation, provides a roadmap for other law firms considering similar technology adoption. For a more detailed picture, listen to leaders from the Law Offices of James Scott Farrin candidly discuss what it took for their firm to fully embrace legal AI—turning every type of user into a believer—in this on-demand webinar. 

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