Special Counsel, Litigation
Biglaw litigator building AI tools for litigation workflows and data to evaluate and improve frontier models
Request an introSpecial Counsel in Milbank’s Litigation & Arbitration Group. Yale Law, Second Circuit clerkship, 15+ years of securities fraud, market manipulation, and regulatory defense work. Over the past three years I’ve enjoyed learning how to build legal software using frontier AI models. I’ve shipped working prototypes for securities fraud case origination, fraud detection, and an emergency immigration habeas tool (as part of a pro bono project). I’m Interested in the intersection of litigation and AI-driven case evaluation, and in how lawyer-builders can capture value and create tools that software vendors cannot.
A daily pipeline that screens U.S. public issuers for major stock-price drops, prepares plaintiff-style event-study damages estimates, and uses frontier LLMs to assess loss causation, falsity of prior disclosures, and insider-trading scienter signals, producing lawyer-reviewable assessments of pleading-stage strengths and weaknesses.
An open-source benchmark that tests AI legal judgment by giving models real federal motion-to-dismiss briefs from PACER/RECAP (decided after the model's knowledge cutoff) and scoring whether they predict the judge's ruling. Built as an alternative to fixed-rubric benchmarks like Harvey's LAB, with a small preliminary multi-model run already done.
A pro bono platform for immigration habeas attorneys. Helps lawyers draft and file emergency habeas petitions fast enough to preserve venue in the district where their client was initially detained.
LegalForecast-MTD benchmark alpha and official evaluation workflows
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