Contracts are the foundation of every business — but analyzing them for hidden risks, compliance gaps, or unfair clauses is still a manual, time-consuming process.

To solve this problem, I built a Contract Analyzer using the Opal platform, an AI-powered application that can automatically scan, interpret, and highlight key insights from legal agreements — in seconds.”

“Most contracts contain complex legal language, and many times, crucial terms like penalties, termination clauses, or arbitration terms go unnoticed.

Lawyers or clients often miss these because of manual reading, formatting differences, or fatigue.

So, the challenge is: Can AI quickly read and highlight the hidden meanings, obligations, and risks?”

“My Contract Analyzer reads a contract document — PDF, Word, or text — and identifies:

1. Key clauses (payment terms, warranties, termination, confidentiality, etc.)
2. Missing mandatory clauses
3. Risky or one-sided language
4. Hidden or ambiguous terms”

This is a no-code / low-code tool from Google that lets people build mini-web apps by simply writing what they want in natural language (a prompt).

Some key features:

1. You describe the app logic in natural language. The system converts that into a visual workflow (steps) chaining prompts, model calls, etc.
2. You can edit or tweak each step via a visual editor.
3. Apps are sharable and runnable via a link (users can use them via Google accounts).
4. Initially US-only in public beta, but recently expanded to more countries, including India.

Prompt Used:

Build a professional legal document analyzer that identifies and explains negative clauses in agreements.

Modifications Made:

1. Added an Input Tab, where files in PDF or Docx could be uploaded
2. Added an Input Tab, where URL could also be pasted.

Output:

Output was in HTML Format

Screenshots for reference:

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