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AI Transparency

What our AI does, what it does not do, and how you stay in control.

Extraction vs. interpretation

Extraction attempts to read information from what you upload: text, names, dates, times, locations, senders, recipients, attachments, visible metadata, and reply relationships.

Interpretation suggests possible groupings, recurring documented themes, documentation gaps, and clarification questions. Some tools also draft summaries or wording for review. AI can misread a source, miss context, or invent details. Treat its output as a suggestion, not a fact or legal advice.

Where AI is used

  • Transcribing voice notes, recordings and audio or video files you add
  • Reading text from photos of handwritten pages and documents
  • Suggesting dates, places and details for a note you are writing
  • Suggesting a draft timeline, possible groupings and documentation gaps
  • Answering questions in the in-app assistant and the court-prep practice coach
  • For a professional you invite: case summaries and, only if you allow it, rephrasing your words into neutral wording

These features send the relevant content to AI providers through the Lovable AI Gateway. See the Privacy Policy for which providers are used.

You decide

AI suggestions for your record are shown as suggestions. You can accept, change or reject them before they become part of an entry, and what you rejected is not exported. Assistant and coach answers are not added to your record.

Check what AI gives you

AI can be wrong. It can mishear a recording, misread handwriting, or put an event on the wrong date. Your own words and original files are kept as you added them; check any AI transcript or suggestion against them before relying on it.

What AI does not do

PatternProof does not diagnose an alleged abuser, predict future violence, calculate the probability that abuse occurred, or replace professional judgment. It helps you preserve, organize, and describe what you already have.

This page describes controls that are implemented in PatternProof today. If a description does not match your experience, please tell us. Related: Privacy · Safety · Evidence integrity · AI transparency · Professional access