I’m a New York attorney who builds software. Most of my work lives where those two meet — legal judgment on one side, products I actually ship on the other.
About
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I grew up in Chicago, went to Spelman to study economics, and graduated Phi Beta Kappa before law school at Northwestern. For most of my twenties I’ve been doing two things in parallel: the legal work, and building. I shipped an AI iOS app solo, and I build AI tools for legal teams now — the kind of work that needs someone who understands both the law and the code. The most interesting problems I find sit right where those two meet, and that’s where I’m putting my time.
Projects
Four projects across the AI stack — two shipped, two in the works.
Walk into a deposition already knowing where the case breaks.
Upload a deposition case file. DepoPrep surfaces the timeline, the discrepancies in testimony, the missing evidence, and the moments worth setting up for impeachment — in under a minute. Built for litigators who don’t have a week to read the file.
An iOS app for career interview practice.
A voice-based AI coach I shipped solo to the App Store. Generates dynamic interview scenarios, gives instant feedback on answer structure, and tracks improvement over time.
A multi-agent system that ships full web apps end-to-end.
Six tiers, twenty subagents, forward-flowing — strategy, architecture, eight parallel front-end builders, polish, and ship. Production runtime today. Deploys live demo apps to Vercel with measurable quality gates at every stage.
Your AI talks to theirs. No more copy-paste.
If you’ve ever copy-pasted a Claude or ChatGPT response into a message to someone, waited for their reply, then pasted it back — Arena fixes that. It connects two people’s AI assistants so they talk to each other directly. You watch the conversation and sign off when it’s done.
Services
Four offers, focused. Two-week audits up front so you know what you’re buying before we touch your data.
Where AI actually fits in your firm — and where it doesn't.
A two-week assessment with a written report and walkthrough. Maps your workflows against the current AI stack, identifies the three highest-leverage opportunities, and flags privilege and conflicts risks.
Document review, contract abstraction, deposition prep — shipped.
End-to-end build of a working tool tailored to one of your workflows. Includes prompt design, evaluation harness, deployment, and a training session for the team using it.
Agentic pipelines for research, drafting, and review.
Same architecture I use to ship six deployed demo apps a week. Multi-step agent systems that coordinate research, draft generation, and quality review with measurable evaluation gates.
The right legal-AI tools, chosen against your work — not the demo.
Vendor-agnostic comparison against your actual workflows, not their demo. Includes an internal prompt library and rollout plan. Pick the right tool before you sign the contract.
All engagements start with a scoping call. Reach out
Northwestern Pritzker School of Law · JD 2024
New York State Bar · 2025
Willkie Farr & Gallagher · Private Wealth, alumna
Spelman College · B.A. Economics · Phi Beta Kappa · magna cum laude
UNCF Chicago · Millennial Masterminds, Class of 2023
U.S. Attorney's Office, N.D. Illinois · Summer Intern
JPMorgan Chase · Markets Summer Analyst
Writing
Essays on law, AI, economics, and justice — the structures that decide who gets what.
What estate planning looks like for clients whose assets are equity, IP, and digital identity. The drafting moves that haven't been written yet.
Reflections on a Stanford study on racial bias in AI hiring tools — what happens when the systems built to strip out bias quietly automate it instead.
§04 · Connect
For AI engagements, speaking, or to say hello. I read every message myself.