AI Impact Score Distribution
All employees by modernization potential tier
BIA Documentation Priority
How many roles require BIA team to build workflow & system docs
Estimated Time Savings by Score Tier
Average % of manual work displaced when AI is fully deployed
Score 5 roles (eFiling, Depositions, eDiscovery, Order Entry) see the highest gains — driven by document-heavy, repetitive workflows ideal for AI automation.
Score 5 — Transformative AI Opportunity
Departments where AI can displace 40–70% of manual work; highest ROI and first BIA documentation targets
| Department | Employees | Est. Time Savings | High BIA | PHI |
|---|
Top 15 Departments — Employee Count & Avg AI Score
Bar height = employee count; color = AI impact score tier
AI Impact Score — What Each Tier Means for First Legal
Three distinct tiers identified across the workforce, each with a different investment and return profile
Recommended Path Forward — Three Tracks
Tracks run in parallel; BIA team drives documentation for Track 2 in Confluence while Track 1 licensing is procured
Track 1 — License & Train (≤90 Days)
Procure Microsoft 365 Copilot licenses for targeted departments (Score 4–5 priority).
Deliver foundational training: Copilot for M365, Excel Copilot, Teams Premium, and Copilot for Sales.
Estimated reach: — AI-addressable employees in Score 4–5 tiers
Deliver foundational training: Copilot for M365, Excel Copilot, Teams Premium, and Copilot for Sales.
Estimated reach: — AI-addressable employees in Score 4–5 tiers
Track 2 — BIA Workflow Documentation (Ongoing)
BIA team produces Confluence documentation per department: workflow analysis, system design, change management plans, and custom Copilot Studio agent specs.
Start with Score 5 High-BIA depts: eFiling → Order Entry → Depositions → eDiscovery → Records
Start with Score 5 High-BIA depts: eFiling → Order Entry → Depositions → eDiscovery → Records
Track 3 — Custom AI Builds (6–18 Months)
Develop custom Power Automate flows and Copilot Studio agents for high-volume, repetitive workflows (eFiling submission pipeline, Order Entry auto-ingestion, Records processing).
Expected outcome: Scale throughput without proportional headcount increase → revenue per employee growth
Expected outcome: Scale throughput without proportional headcount increase → revenue per employee growth