Inspiration The idea for BriefCounsel came from observing how small construction businesses—general contractors, plumbers, electricians, and other trades—often deal with legally complex contracts without affordable access to legal expertise. These professionals typically rely on templated documents or risky verbal agreements, exposing them to potential lawsuits, delayed payments, or unfair liability.

I wanted to create an AI assistant that could read contracts like a lawyer but explain them like a human—with a special focus on industry-specific red flags and everyday risks.

What I Learned How to combine GPT-powered NLP with contract parsing logic to extract legal clauses. How to target a very specific user persona (tradespeople) to build something more impactful than a general tool. The importance of understanding regulatory limits like UPL (Unauthorized Practice of Law). UI/UX patterns that are friendly for non-tech-savvy users in construction and contracting.

How I Built It The project was bootstrapped using bolt.new for rapid prototyping. Here's the key workflow: Users upload a PDF or DOCX contract. The system extracts text and identifies section headers. GPT-4 is used to summarize sections, detect legal red flags, and compare clauses to standard industry terms. A “Risk Radar” highlights clauses such as: "Pay when paid" Lien waivers Scope creep Indemnification traps A “Connect to Lawyer” button is included to escalate issues to vetted professionals.

Challenges Creating accurate clause detection logic without accidentally offering “legal advice.” Balancing powerful AI analysis with trust and explainability for non-lawyers. Handling complex formatting from real-world contracts during upload and parsing. Ensuring scalability while staying compliant with legal industry restrictions.

Built With

  • ai/nlp:
  • api
  • bolt.new
  • buildertrend
  • calendly
  • css
  • docx
  • eslint
  • frameworks:
  • gpt-4
  • handling:
  • html
  • openai
  • pdf
  • postcss
  • quickbooks
  • tooling:
  • typescript
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