AI Automation
How law firms use AI sensibly: use case selection, governance, role models, and practical implementation without complexity traps.
All Articles
7 ArticlesWhy 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.
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.
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.
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.
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.
From practice to your inbox.
Practical tips on AI automation and process integration for mid-sized companies. No spam, unsubscribe anytime.