I'm a lawyer who somehow ended up with a GitHub profile.
Years ago I took a free Python course on Codecademy and built hotseat-mediator, a little dispute resolution tool. That is the extent of my programming ability. I peaked in 2019.
Everything else you see here was built with AI doing the actual work while I pointed and said "no, more like this" repeatedly until something functional emerged. If you look at the code, you'll be able to tell.
I'm a tech lawyer by trade. I spend a lot of time working with actual engineers, which mostly means I understand a little but not enough to be useful. These repos are what happens when someone like me gets access to tools that let you skip the "learn to code" part and go straight to the "have opinions about software" part.
Some things I've had AI build for me
| Repo | What it is |
|---|---|
| lawgraph | Legislation as structured data |
| counselos | In-house legal team tool experiment |
| Agent-Management-System | Applying corporate org charts to AI agents |
| doublecheck | Make it easier for humans to fact-check AI output |
| evolveSVG | Code that mutates itself to make art |
| dm-chess | Chess via DM |
| hockey-shot-tracker | I'm a hockey parent, don't judge me |
I genuinely believe there's something to the idea of domain experts using AI to prototype things from their own fields, even if they can't write a for-loop from memory (I can't). A lawyer who has spent fifteen years reading legislation has useful intuitions about how to model it. A hockey parent who has watched four hundred games knows what stats actually matter. AI lets people like us get those ideas out of our heads and into something you can click on, even if the underlying code would make a senior engineer cry.