Resources
Practical guides and honest perspectives on deploying AI employees in law firms. No whitepapers behind email gates. No buzzwords.
Your Firm's Next Hire Isn't Human
The model capability shift of early 2026 changed the math on legal staffing. AI employees aren't replacing your team — they're filling the roles you can't hire for, can't retain, and can't scale. Here's why the framing matters and what it means for your firm.
Managed AI vs. DIY: What PI Firms Get Wrong
Every vendor promises 'easy setup.' Then you spend three months configuring workflows, training staff, and debugging integrations. Managed AI employees flip the model: we deploy, you supervise. Here's the honest comparison.
Anatomy of an 18-Second Intake
What actually happens in the 18 seconds between a lead hitting your inbox and a case appearing in Filevine? A step-by-step breakdown of automated intake: conflict check, field mapping, assignment logic, and welcome email — with the edge cases that make it hard.
Coming soon
The MSO Playbook: AI Employees Across a Portfolio
You manage operations for 8 firms. Each has different tools, different workflows, different managing partners. Here's how one MSO operator is deploying standardized AI capabilities with per-firm customization — and using the ROI data as a retention wedge.
The $40,000 Spreadsheet: Why Deadline Tracking Breaks
A missed lien deadline. A shared Google Sheet. A paralegal on vacation. This is the anatomy of how deadline tracking fails at PI firms — and what a dedicated AI deadline hawk does differently.
What a Weekly ROI Report Actually Looks Like
Every Friday at 5 PM, your AI operations analyst posts a performance report. Here's a real example — the metrics, the methodology, and what it means when the numbers aren't good.
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