Law Firm · n8n Workflow Automation
Law Firm — Legal Intake and Consultation Triage
Portfolio DemonstrationEvery inquiry must pass three independent gates - client consent, jurisdiction coverage, and a mock conflict-of-interest check - each with its own early-exit path to the log, before practice-area classification drives attorney assignment.

Problem
Legal intake calls and forms need fast, consistent triage to route prospective clients to the right attorney without delay.
System Design
Guarded intake gates: three sequential If-gates (consent, jurisdiction, conflict) each with an early-exit branch straight to the log, before practice-area routing and attorney assignment.
Workflow Stages
- 01Gate 1 - Consent
- 02Practice Area Routing
- 03Gate 2 & 3 - Jurisdiction & Conflict
- 04Attorney Assignment & Log
Tools Used
- n8n
- Code (JavaScript)
- If
- Manual Trigger
- Set
- Switch
Safety & Human Review
- Workflow name begins with DEMO | and is inactive.
- No credentials are attached to any node.
- No enabled external send node exists anywhere in this workflow.
- All data is fictional (example.com emails, invented names/addresses).
- Uses only built-in n8n node types.
Implementation Evidence
Real screenshots of the working system — collapsed by default so this page stays readable.
What's Working
7 structural checks passed, including: Workflow JSON parses (local + server-returned copy); active is false; Name begins with DEMO |; No credentials attached to any node. Structural and logic validation completed. Live n8n execution pending manual safe test.
Limitations & Confidentiality
Classification and scoring logic is deterministic/rule-based rather than a live AI model, by design (provider-independent, fully inspectable, no credential required). No real system of record, messaging channel, or calendar is connected - every downstream action is simulated or drafted, never sent. Live n8n execution has not been triggered as part of this build.
Portfolio demonstration built for a fictional business with fictional data. It is not connected to any real client, system, or customer.
What I'd Improve Next
Replace deterministic classification with a real AI model behind the same confidence/human-review pattern where one exists. Connect the mock/simulated steps to real systems of record once reviewed and approved. Wire a real (approved) communication channel behind the draft-message steps.
Have a similar workflow to automate?
I'll tell you honestly whether automation is the right fix.