How I built an AI contract analyzer in a few weeks (and what I learned about legal text)

I'm a developer. I sign freelance contracts. At some point I realized I was doing both badly. Not the development part — the contract part. I was signing agreements I only half-understood, trusting...

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How I built an AI contract analyzer in a few weeks (and what I learned about legal text)

Source: DEV Community

I'm a developer. I sign freelance contracts. At some point I realized I was doing both badly. Not the development part — the contract part. I was signing agreements I only half-understood, trusting that the other party had written something reasonable. So I built GetRevealr to fix that. The core problem with legal text Legal language is designed to be precise, not readable. The same clause that protects one party can silently harm the other. The ambiguity isn't accidental — it's structural. Teaching an AI to surface that ambiguity was harder than I expected. The challenge isn't identifying obviously bad clauses. It's flagging the ones that look neutral but create asymmetric risk — an IP assignment that extends to side projects, a termination clause that only favors one side, an auto-renewal window so short it's nearly impossible to meet. What the system does You upload a contract — PDF, Word, or image. The AI reads every clause, assigns a risk score from 0 to 100, and returns plain-Eng

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