Vincent Studio

https://support.vlex.com/vincent-by-vlex-1
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Vincent Studio is a no-code legal AI workflow automation platform that enables legal professionals...
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### Configure Report Generation Prompt

Source: https://support.vlex.com/vincent-by-vlex-1/vincent-studio/vincent-studio-workflow-examples/building-a-due-diligence-report-workflow.md

Use this prompt in a 'Prompt with Context' step to structure the report based on uploaded contingencies and user-defined variables.

```text
Generate the Report based on the “Due Diligence Report Template” for Business Acquisition, adapting it to the contingencies uploaded by the user. The draft must include:

Cover Page and Introduction
- Explain the context of the transaction.
- Include the name of {target_company}, {buyer_company}, dates, and scope.
- Briefly describe the areas analyzed.

Executive Summary of Critical Contingencies (Red Flags)
- Present the highest-impact contingencies identified.
- Prioritize by impact and probability.
- Use a summary table with columns:
Area | Contingency | Impact | Probability | Recommendation

Detailed Analysis by Area
For each analyzed area:
- Include a descriptive summary.
- Add a complete table listing all contingencies sorted by impact.
- Structure:
# | Contingency | Impact | Probability | Recommendation

Conclusions and Strategic Recommendations
- Summarize the most relevant contingencies.
- Recommend actions regarding:
 – Price negotiation
 – Warranty clauses
 – Mitigation plans
- Include a final conclusion on the viability of the transaction.

Maintain consistency and professional tone
- Use clear, precise, technical language.
- Maintain a corporate, neutral tone.
- Do not invent information — use only the contingencies provided by the user.
- If data is missing, use clear placeholders: [Data not provided].
```

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### Fact Extraction Logic for Tax Inspection Workflow

Source: https://support.vlex.com/vincent-by-vlex-1/vincent-studio/vincent-studio-workflow-examples/creating-a-tax-inspection-analysis-workflow.md

Instructions for the AI model to extract and format procedural and factual data from tax documents into a chronological table.

```text
Extract only the explicit facts from the documents, including procedural facts where applicable. Return them in a table with the following columns:
- Date (DD-MM-YYYY)
- Fact
- Source (document name or page number)

Rules:
- Sort the table in ascending order by date.
- If there are multiple documents, combine all facts and remove duplicates.
- If a fact does not include a date, leave that cell empty (do NOT infer dates).
- Exclude opinions, inferences, and questions: only explicit facts.
```
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