I built LegalDeep AI after spending $800 on legal review for a simple partnership agreement. The lawyer found 3 risky clauses in 2 hours that my AI now identifies in 12 minutes.

What it does:

Scans contracts and legal documents for risks

Identifies problematic clauses with 95% accuracy

Provides plain-English explanations of legal risks

Suggests safer alternative language

Works completely offline (no sensitive data uploaded)

Technical details:

Built with React/Node.js + Python AI backend

Trained on 10K+ legal contracts and case law

Uses fine-tuned language models + legal knowledge graphs

SOC 2 compliant infrastructure

Processes PDFs, Word docs, and plain text

Why this matters: Legal review costs $200-500/hour. Small businesses either skip it (risky) or pay thousands (painful). This makes legal protection accessible to everyone.

Current traction:

127 legal professionals in beta testing

$2.1K MRR after 6 weeks

Average time savings: 91% vs manual review

Works with contracts, NDAs, employment agreements, leases

Try it: https://legaldeepai.netlify.app (free during beta, no signup required)

The most surprising finding: 70% of users aren't lawyers - they're entrepreneurs and small business owners who couldn't afford proper legal review before.

Looking for feedback on:

What legal documents cause you the most headaches?

What would make you trust an AI with legal analysis?

How do you currently handle contract review?

Happy to answer questions about the tech stack, training data, or legal accuracy validation.