# Why I’m Building a Privacy-First SOW Analyzer to Kill Scope Creep (Launching Next Month) > Source: > Published: 2026-05-27 12:30:21+00:00 If you run a freelance dev business or a small agency, you already know the silent margin-killer: Scope Creep. You sign a 30-page Statement of Work (SOW), start sprinting on the code, and three weeks later the client points to a vaguely worded bullet point from page 14 that suddenly means you owe them an entire user authentication flow you didn't budget for. I got tired of seeing agencies eat thousands of dollars in unbilled hours, so I decided to build a tool to catch these loopholes before the contract gets signed. Enter ScopeAuditor.com. It is currently under construction and slated for official release next month, but I wanted to share the architecture and the core philosophy behind it—specifically why I chose to build it "Local-First." The Problem with Current AI Legal Tools There are plenty of enterprise tools that will analyze a contract for you. But they all share a massive, glaring red flag for small agencies: They ingest your data. When you are dealing with strict NDAs and highly sensitive client MSAs (Master Services Agreements), you cannot afford to upload those PDFs into a generic cloud database or an AI wrapper that uses your client's proprietary data to train its models. The Privacy-First Architecture I designed Scope Auditor from the ground up to respect the compliance perimeter. Instead of building a heavy backend that stores all your raw contract text, the app operates on a strict zero-retention pipeline: Local Browser Session: When you paste your contract into the scanner, the data lives strictly in your local browser state. Stateless API Routing: The payload is routed securely via a Cloudflare Worker directly to the LLM (using Gemini's massive context window). No Centralized SOW Storage: The raw text of your client's contract is never stored on my database. Supabase only stores the structured JSON output (the risk scores and the audit results) tied directly to your secure, multi-tenant agency ID. You get the full analytical power of a heavy LLM without ever compromising your client's data privacy. Core Features Under Construction Right now, I am wiring up the final integrations for next month's launch. Here is what is under the hood: Instant Risk Scoring: The engine scans for ambiguous deliverables (e.g., "build a robust UI") and flags them with a risk severity score so you can rewrite them with deterministic boundaries. Multi-Player Agency Vaults: Built on a secure PostgreSQL schema with strict Row Level Security (RLS), allowing you to invite your team and share an audit limit without leaking SOWs between different agency accounts. Payload Shields: Custom middleware designed to handle massive 50,000+ character legal documents while aggressively preventing API quota exhaustion. What’s Next? Scope Auditor will officially launch next month. I’m currently finalizing the UI transitions and stress-testing the database logic to ensure a completely bug-free release. I’m building this solo and would love to hear from other devs or agency owners. How do you currently handle scope creep in your client contracts? Do you have any specific red flags you always look for in an SOW? Let me know in the comments!