AI Automation for Law Firms
Focus: measurable relief through processes, ownership, and operations – not "AI at any cost".
Related Articles
From the blog – on use case selection, starter model, operations, measurability.
Highlights
Why Most Law Firm Automations Fail
The 5 most common reasons automation projects in law firms don't work - and how to avoid these mistakes.
Use Case Scoring for AI Automation in Law Firms (Impact x Risk x Data)
A scoring model to properly prioritize automation use cases in law firms - including matrix, example evaluation, and stop rules.
Avoid Tool Collection: 9 Rules for Workflow Systems in Law Firms
Nine rules that protect you from tool chaos: Ownership, status model, releases, data checks - so automation runs as a system.
KPI Set for Automation in Law Firms: 5 Metrics + Measurement Setup
5 KPIs that actually drive decisions (instead of KPI sprawl) - including measurement plan, target value logic, and "stop" rules for law firm workflows.
All Articles
30/60/90 Day Plan: How a Law Firm Gets 1 Workflow Properly Into Production
A realistic 30/60/90 day plan: from goal/KPI through prototype and stabilization to scaling - without tool chaos.
Owner & Change Process: Governance for Automation (Law Firm)
A minimal governance setup: Owner, backup, change process, and release rules - so workflows don't fall apart in daily operations.
Owner & Role Model for Automation in Law Firms (RACI + Escalation)
A lean role model (owner, backup, escalation) so workflows in law firms don't fail due to "nobody is responsible" - including RACI to copy.
Downloads
Short, printable templates (for faster implementation).
Lead Intake Checklist
All key points for a clean intake process: data records, prioritization, routing, follow-ups, and KPIs.
n8n Operations Checklist
Monitoring, backups, secrets management, versioning, and ownership - so n8n runs stable.
Content Approval Process
From guardrails to topic planning to publishing - the complete approval workflow.