LegalAI implementation case study

Legal – National Employment Law Boutique: Matter Routing & Multi-State Compliance AI

AI system for intake classification, jurisdiction rules, deadline engines, and client update automation.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom automated multi-state employment litigation operations with AI agents enforcing rules and communications end-to-end.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: employment law. Size: 65 attorneys, 50 states touchpoints. Systems: Litify, timekeeping.

02 · Challenge

Core problem

Manual routing, calendar risk, repetitive client updates. Scale limited new office openings.

03 · Approach

Solution

PrimeAxiom implemented jurisdiction-aware automation: AI classifies claims, attaches statute trees, spins up task templates, and runs Client Comms Agents with attorney-approved templates.

04 · Impact

Results

Mis-filed matters −86%; deadline incidents −94%; paralegal reassignment time −57%; client satisfaction +21 NPS.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

Intake AI, Jurisdiction Graph, Deadline Engine, Task Factory, Client Pulse Agent.

Workflow

How the automation runs

1. Intake form/call. 2. AI maps claim types. 3. Jurisdiction object selects law pack. 4. Deadlines generated. 5. Tasks assigned. 6. Attorneys edit strategy. 7. Client comms on milestones.

Intelligence layer

AI agents and decision logic

Classifier Agent, Deadline Agent, Comms Agent, Docket Sync Agent.

Under the hood

Technical architecture

Rules+LLM hybrid, encrypted DB, immutable deadline audit.

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