Map the data room
Organize the document index, source links, and coverage by workstream or diligence area.
Legal workflow / M&A due diligence
M&A due diligence is an index and open question file, not a data room dump.
We build private workflows that organize data room indexes, document maps, issue logs, and review packs for transaction due diligence. The workflow prepares the record; the transaction team owns the analysis and the parties own the deal.
Data room indexDocument mapIssue logReview pack
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
Where due diligence time goes
The material exists, but the map takes time.
The recurring work is turning a large document set into a reviewable index with questions, owners, and answers.
Keep the issue log
Track findings, questions, responses, owners, and materiality for the transaction team.
Prepare the diligence pack
Assemble the current map, open questions, and source references into a review pack.
The diligence boundary
The system organizes the file. It does not conclude the diligence.
Analysis stays professional
Legal, financial, tax, and technical conclusions remain with the qualified advisers.
Parties own the transaction
The workflow does not negotiate, commit, or approve the deal.
Transaction material stays scoped
Data room, confidential, and deal records are separated by permission and reviewed before they enter.
A first diligence workflow
Start with one workstream and one issue log.
Choose the workstream
Pick the diligence area, such as contracts, employment, IP, or corporate records, the team reviews most.
Map the documents
Index the data room material, source links, and owners for the workstream.
Track the issues
Prepare the issue log with questions, responses, owners, and status.
Build the review pack
Assemble the current map and open questions for the responsible adviser.
Due diligence is stronger when every finding has a document and every question has an owner.
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Straight answers
Common questions.
Does this conclude whether the deal should proceed?
No. It prepares the map and issue log. Diligence conclusions and deal decisions stay with the advisers and parties.
Can it access the seller's data room automatically?
Only where scoped and approved. Source access, credentials, and confidentiality are agreed before material enters.
How is this different from the in-house legal page?
That page covers the in-house queue. This page is transaction specific: data room mapping, issue logs, and diligence packs.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the workstream
Which due diligence area takes the team longest?
Tell us the workstream, the data room, the issue owners, and the adviser. We will scope a workflow around the transaction material you already hold.