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Drop in a chat. See your case timeline.

Paste a WhatsApp export, or upload WhatsApp, email, SMS, iMessage, Messenger, Instagram, Telegram, Snapchat, LinkedIn, Slack, Microsoft Teams, Skype, Google Chat, Discord or Viva Engage files. 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. Add files one at a time or several at once, WhatsApp, Instagram, iMessage together, each new file merges into the same chronological timeline.
Supported file types
  • .txt WhatsApp chat export
  • .zip WhatsApp export; a Slack workspace export, Teams data export, Google Chat (Takeout) or Discord data package; or an archive containing .eml, .json or .txt
  • .eml a single email
  • .mbox an email mailbox or folder
  • .xml Android SMS Backup & Restore
  • .csv / .tsv iMazing, LinkedIn, Viva Engage Messages.csv, a Teams Graph PowerShell export or a generic spreadsheet export
  • .json Messenger, Instagram, Telegram, Snapchat, Slack, Teams (Graph), Skype or Teams Free messages.json, Google Chat, Discord or generic message JSON
  • .html Telegram Desktop export in its default HTML format, or a .zip of the whole export folder

The type is detected automatically, so there is nothing to select. Files up to 100 MB; the full service handles larger records. For other file types (for example Apple Messages or Outlook), see the export guide.

How to export your messages →
Or load a practice-area scenario (fictional)
The main sample case is the family-law record. Every scenario is fictional and multi-platform; the concepts behind them are covered in our legal guides.

Drop in a chat to see the analysis

Paste a WhatsApp export above, or choose a file in any supported format. 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.

Download the sample report

This is what the full document looks like. A complete sample fact-finding review built from the same fictional James and Sarah conversation used on this page: the cover, the two-sided charts, 150 verified quote cards, eight dated incident clusters and the verification statement. Every person and message in it is fictional.

Download the sample PDF (26 pages) LH-SAMPLE-20260802-V1 · no email required

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.

Turn this into a court-ready report See pricing Book a walkthrough