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    Title Review Assistant

    Desktop tool for faster, consistent title reviews

    In Development
    Windows 10 and 11

    A Windows desktop app that helps real estate lawyers draft title reviews faster. It centralizes encumbrance management, analyzes PDFs with AI, and generates polished Word opinions with your firm letterhead, which reduces manual work while keeping attorneys in full control.

    Title Review Assistant

    Key Features

    Encumbrance Database

    Store, search, and categorize entries such as removable, non removable, and mortgage items for fast retrieval.

    AI Extraction

    Analyze uploaded title PDFs to identify and classify encumbrances with confidence scores.

    Human Review

    Approve, edit, or reject findings before anything enters your database.

    Word Opinion Output

    One click Microsoft Word drafting with your firm letterhead, tables, and clean structure.

    CSV Import and Export

    Move data in and out easily using a simple template.

    Firm Settings

    Letterhead and contact info, AI provider, and confidence thresholds are configurable.

    Smart Storage

    Keep only PDFs with approved items; remove rejected files to reduce clutter.

    AI Capabilities

    • Works with leading models and an optional mock mode for testing
    • Multi pass text extraction with fallbacks, including OCR for scans
    • Confidence scoring with quality checks on each item
    • Clear JSON shaped outputs engineered for reliability

    Roadmap

    • Local database, file handling, and settings
    • PDF import with text extraction and OCR fallback
    • Word opinion generator with letterhead and tables
    • OpenAI integration
    • Cross platform integration (looking to partner with a conveyancing software)

    Problems We Solve

    • Encumbrance review is slow and inconsistent across files
    • Important details are missed without a reliable structure
    • Drafting opinions from scratch wastes time and invites errors

    Impact

    • Save hours per file by automating extraction and drafting
    • Reduce rework with a structured database and guided review
    • Deliver consistent, branded opinions that meet firm standards

    Trust and Compliance

    • Local SQLite database with data stored on device.
    • Configurable AI usage and model selection with clear limits.
    • Error codes, logging, and recoverability are built in.
    • Clear guidance that human review stays central.

    Technology Stack

    Python
    tkinter / ttk
    SQLite
    PyPDF2 / pdfplumber
    OCR support
    OpenAI (optional)
    docx generation
    Structured JSON outputs
    Logging and error codes

    How It Works

    Search and Upload

    Search the database; if nothing matches, upload a title PDF for AI analysis.

    Review

    Validate findings with color coded confidence and approve, reject, or edit.

    Generate

    Assemble selections and export a polished Word document with your branding.

    Results You Can Trust

    Purpose built for title reviews with legal friendly descriptions and clean numbering. AI assists and attorneys decide.