As one of the largest firms in the Southeast, the Law Offices of James Scott Farrin had long excelled at managing high volumes of complex cases across multiple practice areas, including Personal Injury, Workers’ Compensation, Eminent Domain, Social Security Disability, and Major Injury Litigation, all powered by the firm’s case management platform, GrowPath.
With proven systems already in place, the challenge was not whether AI could help, but how to implement it in a way that preserved the firm’s established momentum, integrated seamlessly with existing workflows, and drove measurable gains across diverse practice areas.
First, they addressed the primary consideration for law firms:
ethics and compliance. The firm consulted outside counsel to ensure AI usage met ethical obligations, verified that Eve Legal doesn't use client data to train its models, developed a
comprehensive Acceptable Use Policy (AUP), and established verification requirements for all AI-generated work.
Next, the team
prepared the infrastructure for integrations, verifying AI compatibility with existing systems including beta testing with their CRM, GrowPath. Operational considerations, such as maintaining existing case management workflows, ensuring seamless integration with current systems, providing adequate training and support for all users, and creating accountability measures for adoption, were critical. How did they do it? With teams and phases.
Phase 1: Pre-Implementation Planning
The firm assembled a 5-person implementation team with specific roles:
- Vendor Liaison: Single point of contact with Eve Legal to avoid "too many cooks in the kitchen"
- Usage Monitors: Track adoption rates and identify usage trends across departments
- Departmental Support Coordinators: Each team member was assigned to one of the five revenue-generating departments
- Help Desk Management: Centralized support system for user questions and issues in a centralized email inbox
Phase 2: Early Adopter Testing
Before firm-wide rollout, the team selected "early adopters" from each department to:
- Test AI capabilities in real-world scenariosIdentify potential workflow integration points
- Discover unexpected use cases and benefits
- Provide feedback for broader implementation strategy
Phase 3: Creating the "Wow Factor"
Rather than overwhelming users with AI capabilities, the team took a strategic department-by-department approach:
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Interviewed department leaders to identify the biggest bottlenecks and time-consuming tasks
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Built custom "buttons" (automated workflows) for high-impact, frequent tasks
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Created immediate value demonstrations showing dramatic time savings
