Episode 028 AI Skills and the $1500 Divorce

A legal industry business professional spends her career building expertise, then watches AI automate the most valuable parts of that work. That's not a hypothetical — it's what this week's guest proved could happen. Yvonne Nath, founder of Counsel Commons, joins Ron and Heather to talk about a marketplace where lawyers and legal professionals can buy and sell the AI prompt libraries, skills, and agents they've built. But the conversation goes somewhere bigger: what happens when AI doesn't just make legal work faster, but cheap enough to create an entirely new market for the millions of people who can't afford a lawyer today?

In this episode:

- Yvonne Nath's path from law firm operations and strategy work to founding Counsel Commons, a marketplace where lawyers and legal professionals sell the AI automation tools they've created
- How Yvonne productized most of her own   law firm management expertise in about a month, and what that says about the future of legal ops roles
- Some distinction between skills and agents, and why Yvonne deliberately builds almost none of the latter
- How Counsel Commons splits into two channels — bar-verified attorneys and paralegals versus business professionals — to manage unauthorized-practice-of-law risk
- Counsel Commons’ vetting process: AI review for prompt injections and input/output accuracy rather than manually testing every submission
- The pricing model for sellers — a flat listing fee for legal professionals who keep nearly all the revenue, versus a revenue split for business-side tools
- Yvonne's decision to run her own automations on local, open-weight models rather than through Anthropic or another cloud provider, and the data-privacy reasoning behind it
- The $1,500 divorce and the access-to-justice math — why the millions of people priced out of traditional legal help represent an untapped market, not a threat to existing practice
- Ron and Yvonne's disagreement over whether productizing legal services cannibalizes a firm's existing client base or reaches an entirely different one
- What Yvonne means by an "AI native" law firm, and why she thinks real transformation requires starting from scratch

We also discuss:


- Counsel Commons' review system, built around objective performance questions rather than star ratings
- Heather's team meeting encouraging her paralegals and virtual assistants to build AI literacy now, not later
- Ron's case that solo lawyers would get further mastering Word, Excel, and their phone systems than chasing AI tools haphazardly
- This week's Practice Signal: a solo domestic-law attorney wondering whether they now need to hire a consultant just to use tools that were supposed to make everything easier
- The NACBA webinar where consumer bankruptcy attorneys discussed building their own Claude skills

Key Takeaway

Yvonne's real point isn't that AI makes legal work faster — it's that legal work becomes a different business (and, hopefully, a more rewarding one) once it's cheap enough for ordinary people to actually buy. A $1,500 divorce or a $50 landlord dispute isn't a discount version of a $20,000 case. It's a client who was never walking through the door in the first place.

That lands hardest for lawyers still treating AI as a way to shave hours off existing work rather than a way to reach people who currently have no lawyer at all. It's also this season's Users and Builders split in miniature: Yvonne builds, verifies, and sells; most solo and small firm lawyers just want something proven that works off the shelf — and she thinks that gap is exactly the market Counsel Commons should serve.

Mentioned in This Episode

- Yvonne Nath, founder of Legal InnovAI
- Claude
- Qwen the local, open-weight model Yvonne runs on her own hardware
- Lawvable / Lawv.ai — an open-source skills library Yvonne referenced as possibly connected to Claude's built-in legal skills
- Stripe
- NACBA (National Association of Consumer Bankruptcy Attorneys)
- divorce.com
- Upsolve

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