Legal guidance built for founders and investors.
I share what I've learned from sitting in hundreds of deals. The patterns that actually matter, the mistakes that compound, and the decisions that shape outcomes. Practical perspective on startup law, capital structures, and company building.
I work with founders and investors on the full spectrum of startup legal challenges. But this site isn't about servicing clients. It's about raising the bar on how startup founders and investors think about legal issues. The goal is to help you recognize what actually matters before a problem becomes expensive to solve.
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Should Your Startup Use AI to Review Contracts?
Yes, run every contract through an AI tool first. Then know what it cannot see: your leverage, the market for a company your size, how clauses interact, and who is accountable when it is wrong. What a startup lawyer is for now, and a simple rule for which contracts the tool handles alone and which go to counsel.
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What Should My Startup Ask Its AI Vendor About Training Data and Indemnities?
Every major AI model provider now offers an IP indemnity, so the promise itself tells you almost nothing. The questions that matter: does it cover training data or only output, what must be configured and documented to keep it, and does it apply to the plan and models actually in use.
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Do I Own My AI Product?
The intellectual property representation in a priced round covers four separate things for an AI company: the people who built the product, the material its own tools generated, the model underneath it, and the data it calls a moat. Where each one breaks, and the four fixes a founder can start this week.
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