Stop entering data. Start acting on it.
Automated extraction of critical data from fund documents, LPAs, side letters, and capital statements. Built by lawyers who understood exactly what private markets teams needed to extract and why.
Fund teams spend thousands of hours every year manually pulling data from legal documents, entering figures into spreadsheets, chasing quarterly reports, and reconciling information across systems. It is slow, error-prone, and a poor use of skilled people's time.
What intelligent data extraction looks like.
Schema-based data extraction
LPAs, side letters, fund formation documents, and capital statements pulled into structured data.
Document grouping
Organise documents into structured sets for batch processing.
Event extraction
Calendar-based and trigger-based events pulled automatically from document text.
MFN analysis
Identify and track most favoured nation clauses across LP relationships.
Data visualisation
See extracted data in structured, readable formats.
Export DOCX, XLSX, JSON
Take outputs wherever you need them.
Ad-hoc queries
Ask questions across your document set in natural language.
Look-through extraction
Portfolio monitoring across multiple fund investments.
What this means for your work.
M&A
Data extraction eliminates the manual work of pulling key terms, obligations, and figures from transaction documents. Structured data from SPAs, disclosure letters, and due diligence materials.
- Automated extraction of key terms and obligations from SPAs
- Due diligence data structured and exportable instantly
- Disclosure letter analysis with deviation flagging
From document, to data, in one step.
Book a personalised walkthrough.