VeriLaw

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Founders spend hours sharing sensitive legal documents with outsiders for review—risking leaks and still lacking proof the process was private or correct. We wanted to make legal due diligence faster, verifiable, and truly private. VeriLaw reviews legal documents securely with AI and produces both a human-readable summary and a cryptographic proof showing the analysis was done correctly without exposing private data. We combined an AI legal reviewer (Echo AI) with a Trusted Execution Environment (TEE) that decrypts and analyzes files only in memory. Each review produces hashed outputs—document, result, and code—and posts a signed attestation on EigenLayer for verifiable transparency. Integrating cryptographic proofs into the workflow while keeping the user experience simple was tough. Ensuring data never leaves the enclave while allowing public verification required careful architecture and testing. We built a working prototype where users can upload an encrypted NDA, get clause-level feedback in seconds, and share a public proof link that verifies the review—without revealing the file. Balancing usability, privacy, and verifiability isn’t easy—but it’s possible with trusted execution and transparent proof systems. We’re expanding to more document types, enterprise integrations, and adding full compliance verification. We’re also looking for pilot startups and a security advisor to scale “private in, proof out” legal AI.