Wasim Amin
At the intersection of law, strategy, and the model.
A U.S. corporate attorney, management consultant, and frontier-AI specialist with twenty-two years of cross-border practice, currently designing the evaluation frameworks that shape frontier legal language models for a top-three AI laboratory. The rarity is in the seam between the three.
A practice built at the seam of three disciplines — corporate law, management consulting, and machine learning — none of which forgive imprecision.
Twenty-two years of M&A, private equity, venture capital, U.S.–MENA structured finance, and strategic business advisory. A J.D. magna cum laude in the top 1% of class. An M.B.A. summa cum laude. A Google Cloud Professional Cloud Architect certification and AI credentials from Harvard and Babson. The work spans all three — and so does the standard.
Designing the evaluations that frontier models will be measured against.
Now advising Meta directly on frontier legal-model training — and contracted through Mercor to a top-three AI laboratory — the work is in shaping how the next generation of legal language models reasons, cites, and is held accountable.
Advising Meta's research teams and engineers on the design and implementation of RLHF training guidelines for frontier models — bringing two decades of corporate-law judgment to closing domain knowledge gaps and lifting model performance on complex legal reasoning.
Sets the gold standard for legal training data: developing precise, sub-domain-specific guidelines and running quality assurance across supervised fine-tuning pipelines, evaluating vendor annotations against detailed rubrics to drive measurable gains in data quality and rigor.
Architect complex, multi-layered legal evaluation frameworks simulating real-world corporate transactions — M&A due diligence, IPO readiness assessments, data breach response, and cross-jurisdictional regulatory compliance under GDPR, LGPD, PDPA, and DORA.
Design multi-dimensional scoring rubrics and golden responses for RLHF and SFT pipelines, calibrated to produce 5–10% exemplary performance rates among frontier models. Construct interconnected corporate document ecosystems with embedded governance issues and red-herring document sets, stress-testing AI reasoning, statutory interpretation, and doctrinal analysis.
Domain expert for a leading AI human-data platform, providing specialized legal knowledge for model training, fine-tuning, and evaluation across corporate law, regulatory compliance, and cross-border transactions.
Designed prompts covering doctrinal analysis, statutory interpretation, regulatory compliance, and complex M&A scenarios; reviewed AI-generated legal outputs for accuracy and reasoning quality against the rigor expected by top-tier law firms.
End-to-end AI consulting delivering adoption roadmaps that have reduced client operational costs by 15–25%. Deploys LLM, RAG, and automation workflows that accelerate client processes by 40–60%. Builds governance frameworks aligned to GDPR, HIPAA, and industry-specific standards.
Two decades of cross-border corporate practice — from BigLaw rotation to outside general counsel at a billion-dollar venture firm.
A representative slate. Names withheld where discretion requires.
Cross-border M&A, venture investment, sovereign procurement, and structured finance — across jurisdictions in the U.S., GCC, EMEA, and Asia.
Trained at the intersection.
A two-decade record of written authority across Islamic finance, cross-border M&A, and EB-5 capital structures.
Chairman, Middle East Division, American Bar Association (2013–2020) · Vice-Chairman, International Commercial Transactions Committee, ABA (2013–2018) · Chairman, Islamic Finance Committee, International Law Division, ABA (2013–2019) · Regent Board Member, Immigration & Naturalization Division, ABA (2020–2022) · Global Independent Director, Target International Schools (2014–2019).
Selectively open to counsel, advisory, and frontier AI evaluation work.
For board, general counsel, transactional, or frontier-AI engagements, the most direct route is email. Replies come from Wasim personally — typically within a business day.