Long document packs, read before your team opens them
Terms, dates, figures and obligations are extracted before anyone opens the file, each one linked to the page it came from.
The problem
Long documents are read line by line by qualified people: leases, contracts, deal packs, prior year files.
The work is slow, it is hard to schedule, and the risk is in what gets missed at the end of a long day.
What the system does
- 01Extracts the terms, dates, figures and obligations that matter for the engagement.
- 02Compares each one against the prior year, the precedent or the agreed template.
- 03Flags differences and gaps for review, with a link to the page behind every figure.
- 04Leaves the judgement, and the final file, to your team.
The numbers it moves
- Review hours per pack
- Measured per engagement, comparing the time to first review before and after.
- Margin on fixed-fee jobs
- Document-heavy jobs are the ones most likely to overrun, so the benefit shows in margin.
What you can check
Every extracted figure cites its source page, so a reviewer can confirm it in seconds without re-reading the document.
What it looks like
A view like this is for checking, not somewhere your team has to work. The extracted data goes into the systems you already run. What a screen like this adds is the evidence: every field next to the page it was read from, and anything that does not agree raised before it reaches you.
Questions
- How accurate is the extraction?
- Accurate enough to speed up review, not to replace it. Every figure is cited, anything uncertain is flagged, and a person signs off the file.
- What document types does it handle?
- Whatever your engagements involve, most commonly leases, contracts, loan agreements, deal packs and prior year files. Scope is set during discovery.
- Where do the documents go?
- They stay in your own environment. Access is limited to what the system needs, and every action is logged.
Start with a conversation
The first conversation is free. We will talk through where your team’s time is going and tell you plainly whether we can help.
Last updated 14 October 2026
