How RegsAI Works

RegsAI transforms complex regulatory research into instant, accurate answers. Here's how our platform works behind the scenes:

1. Document Ingestion

We begin by sourcing thousands of local development regulations — including planning codes, subdivision standards, infrastructure design manuals, and zoning ordinances — from cities, counties, MUDs, and regional entities.

✅ Sources include:

Municipal and county websites
Planning and zoning portals
Publicly posted infrastructure manuals
Direct uploads from verified partners
Secure APIs for large-scale ingest

Our platform regularly refreshes source data to ensure accuracy and currency.

2. OCR + Parsing Pipeline

Once files are collected, we run them through our proprietary ingestion engine:

OCR: Automatically detects and extracts text from scanned documents and PDFs.

Parsing: Breaks content into structured elements like articles, sections, tables, and appendices.

Metadata tagging: Each section is tagged with jurisdiction, document type, effective date, and relevant categories (e.g., drainage, driveway setbacks, utilities).

This process creates a clean, structured base for AI training and search — while preserving the context engineers and planners depend on.

3. AI Training + Fine-Tuning

We fine-tune our large language model on real-world documents from Greater Houston and surrounding regions:

Local development codes and ordinances
Annotated examples from engineers and planners
Historical zoning interpretations
Infra manual exceptions and amendments

This allows RegsAI to answer questions in the language of real-world practice — not just legal theory.

4. Intelligent Search & Chat

With structure and context in place, users can engage the AI in multiple ways:

Jurisdiction-specific chat pages: Ask zoning or development questions based on a specific city, county, or district.

Smart suggestions: RegsAI can point to exact sections, figures, or exceptions that apply.

Cross-document linking: References to external standards (like TxDOT or FEMA) are included when relevant.

Whether you're a civil engineer reviewing site plan setbacks or a developer exploring MUD tap fees, RegsAI gets you to the answer faster.

5. Feedback Loop + Continuous Improvement

Each user interaction improves the platform. We use feedback to:

Improve document tagging and parsing
Surface gaps or outdated documents
Retrain models on real-world user intent
Expand coverage to new jurisdictions and document types

✅ What Makes RegsAI Unique?

Local-first AI: Trained on real Texas ordinances and infrastructure rules.

Builder and engineer aligned: Designed with input from civil firms, developers, and municipal partners.

Scalable structure: Every document is indexed and ready to support future tools like permitting workflows, cross-jurisdictional comparisons, and plan checks.

👷 Powered by Real Documents. Designed for Real Use.

RegsAI isn't a black box. It's built to help professionals do better work faster — with confidence, clarity, and compliance.

If you want to learn more about how we gather and structure jurisdictional data or integrate your city's regulations, [get in touch →].