Applied AI lawyer building AI-enabled legal workflows.
I combine technology transactions experience with the design and delivery of AI-enabled legal workflows.
Work
Things I’ve built and shipped.
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Legal Agent Use Cases
- What it does
- A directory of 30 publicly reported legal workflows built on AI agents, showing each one’s practice area, agent authority, and how automated and human evaluation check the work.
- A human still decides
- What gets listed. Each entry is checked against its public source, and every human-review step is marked as stated in the source or inferred by the editor.
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Case Clock
- What it does
- Tells the time by finding it in a quote from a public court opinion. Every minute of the day has at least one quote checked word for word against its source, and new ones are added from CourtListener.
- Built with
- First built with Replit Agent 4. Rebuilt as a static page with a Cloudflare function for new quotes.
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Packlight
- What it does
- Builds a short, weather-aware packing checklist from a trip you describe out loud. It shows what it still needs in one list, so you can answer everything at once.
- How it decides
- Plain rules, not an AI model: nights and laundry set the clothes count, and the Open-Meteo forecast sets layers and rain gear. No account. The trip stays in your browser.
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Applied AI Practice, Baker McKenzie
- What I do
- Lead design and delivery of AI- and data science-enabled legal workflows across 10+ enterprise engagements, translating legal requirements into workflow specifications.
- How the work is checked
- With data scientists: precision and recall against verified ground truth, ground-truth datasets, and expert review.
About
I’m an applied AI lawyer, licensed in Illinois. I translate legal requirements into workflow specifications and work with data scientists on how the workflows are evaluated: precision and recall against verified ground truth, ground-truth datasets, and expert review.
- 2025–present
- Lawyer, Applied AI Practice, Baker McKenzie, Palo Alto (not yet licensed in California). I lead design and delivery of AI- and data science-enabled legal workflows.
- 2021–2024
- Technology Transactions Associate, Baker McKenzie, Chicago.
- 2020
- Co-created the Northwestern online course “Digital Transformation of Legal Services” with Prof. Daniel W. Linna Jr.
- Education
- JD, cum laude, Northwestern Pritzker School of Law (2021). BS, Mechanical Engineering, Brigham Young University (2015).
- Before law
- Patent analyst (2015–2018).
Views and builds here are my own, not my employer’s. My personal projects use only public or fictional data. Nothing here is legal advice or a legal service.
Contact
Want to compare notes on legal AI workflows or one of my projects?