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TrackJud TrackJud

Solution for M&A and due diligence

Judicial due diligence without spreadsheets and without surprises at closing

Cross-check active cases, labor liabilities, and litigation history of the target + shareholders + controllers in minutes. A consolidated report ready to attach to the red flags memo.

Judicial due diligence without spreadsheets and without surprises at closing

What slows an M&A due diligence today

1

Manual mapping takes weeks

A target with 15 controllers and 3 subsidiaries means manual mapping of 50+ CPFs/CNPJs across 5-10 courts each. That's 1-2 weeks of paralegal work just on research.

2

Labor liability shows up at closing

Brazilian labor law (Súmula 331) and subsidiary liability make labor claims a late-stage red flag. Without systematic checks across TRTs, the buyer finds out post-signing.

3

Shareholder/controller litigation slips through

Habitual litigation patterns of shareholders or tied PEPs don't show up in bureaus or checklists — only in aggregated judicial research by CPF.

How it fits into the M&A process

1

Bulk query of CPFs/CNPJs

Via API or dashboard you fire the full list at once — target + shareholders + controllers + subsidiaries. No volume cap.

2

Structured data in JSON

Vigilant returns per-CPF/CNPJ data across the 12 court sources we cover: active cases, parties, movements, claim value, labor liability, and tax enforcements.

3

You build the red flags memo

With the consolidated data (exportable to JSON/CSV) your team assembles the red flags memo in the format your operation requires, ready to attach to the VDD.

The numbers that matter for M&A

15

Avg controllers per target

Full query run in minutes

12

Court sources

Federal + 10 states

<10min

To query the full list

Vs 1-2 weeks manual

100%

Structured data

JSON + CSV exportable

Cross-check active cases, labor liabilities, and litigation history of the target + shareholders + controllers in minutes. A consolidated report ready to attach to the red flags memo.

Solution for M&A and due diligence

Manual research vs automated querying

Manual research
  • Map shareholders and controllers on a spreadsheet
  • Query each CPF on 5-10 tribunal websites
  • Consolidate screenshots and PDFs in a shared folder
  • Labor liability checked ad hoc or skipped
  • Red flags memo delayed by 1-2 weeks
With Vigilant
  • One API call for the full list
  • Automated queries across 12 judicial sources
  • Structured data exportable (JSON/CSV)
  • Labor liability cross-checked per CPF/CNPJ
  • Your team builds the memo in hours, not weeks

How much your team saves per target

Estimate based on paralegal hours × rate × targets per year.

Your monthly savings

Paralegal cost

Vigilant cost

Monthly savings

Yearly savings

Frequently asked questions

Do you sign NDAs?

Yes. Enterprise contracts include a bilateral NDA. The court data queried is public, but we keep confidentiality on the list of CPFs/CNPJs consulted and on the scope of the operation.

Is the data exportable to attach to the VDD?

Yes. Query results are returned as JSON by the API or exported to CSV from the dashboard — your team assembles the red flags memo in whatever format the operation requires (executive PDF, spreadsheet, virtual data room).

Do you deliver a finished report?

No. Vigilant delivers the structured data (cases, parties, movements, claim value, labor liability, tax enforcements). The red flags memo itself is built by your diligence team — every operation has a different format, and interpreting red flags is legal work.

Does data stay in Vigilant after the operation?

You control it. Enterprise contracts include a customizable retention clause — from 90 days to immediate purge after deal closing.

What's the typical volume for an M&A due diligence?

An average target runs 30-100 queries (target + shareholders + controllers + subsidiaries + executives). On the Business plan (2,000 credits) you cover ~30 operations/month with no monthly fee.

Accelerate your next due diligence?

Test free with 5 credits. Book an executive demo with a real (anonymized) consolidated report example.