AI-Powered Tool to Instantly Understand and Compare Contracts
Posted3 months agoActive3 months ago
contractanalize.comTechstory
calmpositive
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AIContract AnalysisLegal Tech
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AI
Contract Analysis
Legal Tech
Contract Analize is an AI-powered tool that helps users understand and compare contracts, with HN commenters discussing its potential applications and limitations.
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Oct 15, 2025 at 7:36 AM EDT
3 months ago
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Oct 15, 2025 at 7:36 AM EDT
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Oct 16, 2025 at 9:56 AM EDT
3 months ago
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I think your site needs to call out that problem more clearly. The two pains you solve for me: - saving money on a lawyer for first pass / basic contracts - Reducing risk of my current “vibe red lining”
I also think you need establish your credibility on the site. My first thought was “did some kid vibe code this? Or is this someone with an actual JD.”
Great point too about credibility. I’m planning to add a clear About section to highlight the team’s background and experience in both law and AI so visitors know this isn’t just a hobby project but built with real legal and product expertise behind it.
Appreciate you taking the time to share this it’s exactly the kind of feedback that helps make the product stronger.
Why we built it
Last year, we were working with a few early-stage startups that were drowning in vendor and customer contracts. Lawyers were expensive; founders didn’t have time; AI tools at the time were either too generic (“chat with your PDF”) or too opaque to trust.
-Understands legal context (not just raw text)
-Explains clauses clearly (“This indemnity clause exposes you to X risk”)
-Highlights risks, missing terms, and inconsistencies
-Lets you compare versions to see what changed
Under the hood:
-We use LLMs fine-tuned on contract-specific datasets (public agreements + anonymized real samples).
-A clause-level parser breaks down contracts into semantic sections (e.g., Termination, Liability, IP, etc.).
-We run a hybrid rule-and-LLM pipeline: rules handle structure / entities; the model handles nuance and reasoning.
-Everything is stateless and localizable, with optional on-prem deployment for privacy-sensitive orgs.
-We also built a comparison engine that highlights redlines across different drafts (useful for negotiation).
Also how do you approach cross referencing between clauses? A lot of “AI contract analysis” tools I’ve seen tend to miss dependencies like “subject to Section 10(b)” or misinterpret defined terms.
Is your model resolving definitions and references in a structured graph, or relying purely on token level embeddings?