Trainee
Request an introTrainee at a US law firm in London and a self-taught coder. I believe law is at a key inflection point. Because so much of the work is text-heavy and process-driven, it is uniquely well placed for big gains in speed, cost, and quality over the next few years. I would love to help contribute to that shift. (Recognized on Latham's 2025 AI Honors Roll and winner of the Latham Corporate Harvey AI Competition.)
"The Closing," a gamified simulation engine that transforms Share Purchase Agreements into interactive strategy maps. It uses AI to convert complex clauses (like Indemnities or Earn-outs) into visual game mechanics and simulates "future scenarios" to test if a user’s drafting survives commercial disasters. UI is based on the Matrix (my favourite game growing up).
"The Moot Court," a multi-agent NDA simulator for trainees. It parses NDAs and deploys three distinct AI personas (Opposing Counsel, Client Counsel, and Senior Partner) to debate clauses in real-time. Instead of just auto-correcting text, it teaches trainees the strategy each clause. Built using Python, Flask, and Google Gemini API.
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