Live demo
Drop in a chat. See your case timeline.
Paste a WhatsApp .txt export or load our sample. The demo runs entirely in your browser, nothing leaves your machine. Production pipeline uses LLMs for deeper analysis.
Illustrative demo. This in-browser parser uses a small lexicon for sentiment and basic counting for the timeline. The production LegallyHeard pipeline uses large language models for deeper analysis, named-entity recognition, cross-source linking, and quote-level grounding. The point of this demo is to show shape, not final accuracy.
WhatsApp → chat → ⋮ → More → Export chat → "Without media" → save the .txt → drop it here.
Drop in a chat to see the analysis
Paste a WhatsApp .txt export above, or use the sample. Nothing leaves your browser.
Privacy guarantee. This page runs the parser in JavaScript, in your browser. Your chat text never leaves your device. No upload, no server-side processing, no analytics on chat content. View the source code of the parser if you want to verify.
Like what you see?
The production pipeline goes much deeper, entity extraction, cross-source linking, pattern flagging, and court-ready bundle export. Run a real case through the £49 Taster.