Smart Case Analysis — Local-first, browser-heavy AI

Drop your files.
Smart Scan finds the problems before the reviewer does.

Upload your evidence — invoices, tracking screenshots, emails, contracts. Most classification, routing, template matching, and case assembly run in your browser first. No third-party AI calls. Same-server fallback only when needed.

Reads file content when available Detects date contradictions Claims vs Evidence matrix Free

Live operator intelligence

What similar files are showing right now

Before you analyse your own file, see the recurring blocker, the similar documented cases, and the current learning receipt for this case type.

Step 1 — Upload triage

Upload your evidence. We classify as you go.

Each file is classified, quality-checked, and matched to what is still missing — before analysis starts. PDF · JPG · PNG · TXT · up to 10 files.

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Drop files here or click to browse

PDF · JPG · PNG · TXT · up to 10 files · 10MB each

⚠ Missing evidence — detected from what you uploaded

📅 Cross-file analysis — timeline · entities · contradictions

BUNDLE VERDICT

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Ask about these files — answers cite your evidence

Allow deeper same-server file reading for this question only. Without this, Q&A stays local-first.

Step 2 — What happened

Give the AI context.

What type of case?

When did the dispute open?

In one sentence: what is the other side claiming?

What is your position?

Step 3 — analysis in progress

Reading your files…

Step 4 — Diagnostic report

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Analysing…

① Uploaded ② Context ③ AI analysis ④ Diagnostic ⑤ Fix blockers ⑥ Reviewer-ready

Case readiness0%

🔴 Missing before you send

Guided Fix Mode — Fix this case step by step

Fix the blockers. One at a time.

Every blocker is listed in order of impact. Check them off as you fix them. When all critical items are resolved, your case is reviewer-ready.

Smart evidence tools

What do you want to do next?

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Source-Linked Decision Sheet

Every sentence backed by evidence ID. No unsupported claims. Reviewer-grade output.

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Falsification Mode

AI attacks your case. Finds every overstatement, gap, and weak point before the real reviewer does.

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Missing Evidence Engine

Exactly what your file still needs — tiered as critical / required / recommended.

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Reviewer Simulation — 5 Profiles

Choose the reviewer type. Each profile has different objections, thresholds, and triggers.

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Outcome Outlook

Explained direction — not a raw prediction. Data trust, evidence strength, rejection risks, what to fix.

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Counterparty Response Engine

What they will likely say, what will make them reject, and the strongest counter you can make with this file.

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Evidence Negotiation Mode

What to send first, what not to send first, and how to escalate or calm the file without overstating what it proves.

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Shared Counterparty Inbox

Turn the case into a receiver-safe first message, named missing-evidence request, delta note, and local handoff tools.

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Institutional Modes

See the same file through bank, insurer, procurement, counsel, and internal management lenses — and what each will sign off on.

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Outcome Memory

See what similar cases usually get wrong, what tends to help, and which pattern you should reuse instead of repeating the same mistake.

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Adaptive Template Intelligence

Let the path change itself: family, starter vs deep, packet order, and best paid unlock based on proof strength, reviewer pressure, and institutional lens.

◎ Local-first mode stays in the browser where possible. Same-server fallback only — no third-party AI services.

AI-written Decision Sheet — review before using

Draft ready. Read before sending.

AI wrote this based on your files and diagnostic. Review every line — you know your case better than any AI.

Reviewer simulation — AI plays the other side

The reviewer has questions. Answer them before you send.

Up to 3 rounds. The AI gets harder each round.

Outcome outlook — explained, not predicted

What does this case look like to a neutral reviewer?

Based on evidence completeness, claim-graph quality, and contradiction count. No win/loss percentages — those would mislead.

Falsification mode — hostile second pass

How could this case fail?

AI attacks your case from the other side. Find every weakness before the real reviewer does.

Missing evidence engine — what your file still needs

What is still missing?

Tiered by impact: critical (case fails without it), required (strongly needed), recommended (would strengthen).

How this compares

What no rules-only tool can do.

❌ RULES-ONLY (typical tools)

You describe your case → rules check the description
Misses: real dates, names, amounts in your files
Cannot detect: contradictions between documents
Cannot detect: tampered or backdated files
Cannot read: what the tracking screenshot actually says

✓ VRAIMONY SMART SCAN

Upload your files → AI reads them directly
Extracts: actual dates, names, amounts, events
Detects: "delivery date is after the dispute date"
Detects: "name on invoice ≠ name on tracking"
Produces: structured claim vs evidence matrix

Drop your files.
Smart Scan finds the problems before the reviewer does.

What similar files are showing right now

Upload your evidence. We classify as you go.

Give the AI context.

Reading your files…

Analysing…

Confidence by layer

📅 Timeline extracted from your files

⚖️ Claims vs Evidence

📊 Evidence graph — claims · evidence · contradictions

⚠ Contradictions detected

🔴 Missing before you send

↔ Counterparty response engine

🧭 Evidence negotiation mode

📬 Shared counterparty inbox

🏛 Institutional modes

🧠 Outcome memory across similar cases

🧩 Adaptive template intelligence

Turn this report into a review-ready case.

Fix the blockers. One at a time.

What do you want to do next?

Draft ready. Read before sending.

The reviewer has questions. Answer them before you send.

What does this case look like to a neutral reviewer?

How could this case fail?

What is still missing?

What no rules-only tool can do.

Drop your files.Smart Scan finds the problems before the reviewer does.

What similar files are showing right now

Upload your evidence. We classify as you go.

Give the AI context.

Reading your files…

Analysing…

Confidence by layer

📅 Timeline extracted from your files

⚖️ Claims vs Evidence

📊 Evidence graph — claims · evidence · contradictions

⚠ Contradictions detected

🔴 Missing before you send

↔ Counterparty response engine

🧭 Evidence negotiation mode

📬 Shared counterparty inbox

🏛 Institutional modes

🧠 Outcome memory across similar cases

🧩 Adaptive template intelligence

Turn this report into a review-ready case.

Fix the blockers. One at a time.

What do you want to do next?

Draft ready. Read before sending.

The reviewer has questions. Answer them before you send.

What does this case look like to a neutral reviewer?

How could this case fail?

What is still missing?

What no rules-only tool can do.

Drop your files.
Smart Scan finds the problems before the reviewer does.