From Chaos to a Clear Path: An AI Enablement Roadmap for a Montana Plaintiffs Law Firm
A Montana plaintiffs law firm was functioning but far from optimally — buried in busy work, stressed, and operating as individuals rather than a coordinated team. They knew AI could help but were barely using it. We conducted in-depth interviews, data collection, and analysis, then delivered a 55-pa
Results at a glance
The outcome, in numbers
paralegal capacity / attorney capacity - Phase 1
additional paralegal capacity / attorney capacity - Phase 2
The challenge
The firm was overwhelmed. Day-to-day work was dominated by busy work, people were stressed, and the team was operating as a collection of individuals rather than a coordinated whole. The firm was functioning — but in a state of chaos that capped both capacity and quality.
They had heard about AI and sensed the opportunity, but adoption was minimal and unstructured. Without a clear picture of where their time was actually going or which bottlenecks mattered most, any attempt to "add AI" risked being scattered, superficial, and ineffective. They needed clarity before they needed tools.
What we built
We went into the firm and did the diagnostic work first. Through thorough interviews, data collection, and analysis, we built a complete picture of how the firm actually operated — and where it broke down.
- Deep operational discovery. We interviewed the team, collected data, and analyzed the firm's real workflows to understand the work as it happened, not as it was assumed to happen.
- A 55-page assessment. We documented exactly where the bottlenecks were, why each one was a bottleneck, and what it was costing the firm in capacity and quality.
- A clear, actionable two-phase roadmap. We laid out a phased path to becoming fully AI-enabled — addressing not just tooling, but the cultural and workflow changes that make adoption stick.
The roadmap was structured in two phases:
- Phase 1 — Business Foundation. Cultural improvements, workflow improvements, and essential tooling adoption to establish a stable, coordinated operating base.
- Phase 2 — Full AI Enablement. Deeper AI integration building on that foundation to push capacity and quality further.
We left the firm with an actionable plan to implement, backed by ongoing technical and business support from UniCorp to help along the way.
The results
The assessment turned an overwhelmed, chaotic operation into a firm with a clear, quantified path forward. Each recommendation was tied to a documented capacity gain, so leadership could see exactly what each phase would return — and in what order to pursue it.
Services used
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