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 6 OF 25
Reject profanity without echoing it
Click the red Click Here target to advance the recorded walkthrough. These are screenshots, not a live form.
What to do Review the profanity explanation, then click "Return to field" and restore James Holloway.
What happens / why Only the offending field clears. The popup explains the reason without copying the rejected text into the warning.
Value to a law firm Predictable feedback supports self-correction and prevents rejected text from becoming a saved inquiry.
Presenter notes SCREEN 6: Reject profanity without echoing it
ACTION: Review the profanity explanation, then click "Return to field" and restore James Holloway.
WHAT HAPPENS: Only the offending field clears. The popup explains the reason without copying the rejected text into the warning.
VALUE TO A LAW FIRM: Predictable feedback supports self-correction and prevents rejected text from becoming a saved inquiry.
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
