Recorded, synthetic walkthrough. Actual Azure AI outcomes are replayed here.
Verification, upload/malware scanning and final submission are simulated. No real request or email is sent.
SCREEN 16 OF 25
Keep the user in control of the handoff
Click the red Click Here target to advance the recorded walkthrough. These are screenshots, not a live form.
What to do Check that the English version is accurate. Preview the complete lawyer email before the final simulated send.
What happens / why Confirmation is required before sending; edits revoke prior approval. The next screens show the actual combined analysis and full proposed email, without sending it.
Value to a law firm Explicit confirmation catches misunderstandings before handoff and preserves accountability for the information submitted.
Presenter notes SCREEN 16: Keep the user in control of the handoff
ACTION: Check that the English version is accurate. Preview the complete lawyer email before the final simulated send.
WHAT HAPPENS: Confirmation is required before sending; edits revoke prior approval. The next screens show the actual combined analysis and full proposed email, without sending it.
VALUE TO A LAW FIRM: Explicit confirmation catches misunderstandings before handoff and preserves accountability for the information submitted.
In the real configured workflow a successful submit persists the original fields, approved English, AI results and usage in SQL before acknowledging success.
DEMO INTEGRITY: Local rejections use the real form JavaScript. AI fiction rejection, inquiry approval, summary and report classification are actual Azure outcomes captured 2026-10-22T20:01:04.6941892+00:00. UI processing replays those outcomes. Human verification, file transfer/malware scanning and final submission are simulated. No customer request, SQL record or email is created. All people and reports are fictional. Screening is not truth verification, legal advice, case acceptance or proof of report authenticity.
Download the synthetic police report (PDF)
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A guided, safer intake experience Enter clear contact and matter details Test obvious keyboard gibberish Explain why the input was cleared Test the respectful-language check Reject profanity without echoing it Explain processing and human verification A well-written request can still be fiction Azure rejects the fictional inquiry Describe a plausible legal matter Associate the police report Read the source, not just the summary Request the English review and AI summary Review the AI-generated intake analysis Turn missing details into focused follow-up Keep the user in control of the handoff Preview the complete lawyer handoff Preview the email: inquiry summary Review reported facts and validity Read the report summary and comparison Review next steps and case-law limits Preserve the complete original inquiry Compare original and English accounts Finish with an auditable draft Finish with an honest demo receipt
