Contracts & drawings, read by machine.
A construction project is a paper avalanche wearing a hard hat: contracts, drawings, specs, change orders, RFIs — thousands of pages where one missed clause or one conflicting dimension costs real money. This group stopped reading it all by hand. The machine reads everything; people read what matters.
Does this sound like your projects?
The information was all there. That was the problem.
Every risk, obligation, deadline, and dimension the team needed was in the documents — buried across thousands of pages that arrived faster than humans could read them. Review was triage: read what looks important, skim the rest, and hope the expensive sentence was not in the skimmed part.
THE SAME DOCUMENT SET — A WEEKEND OF SKIMMING VS. A MACHINE THAT READS PAGE 187
- Reading was rationed by seniority
Only experienced eyes could spot the dangerous sentences — so experienced people did clerical reading, and everything waited for their weekends.
- Conflicts surfaced at the worst price point
A dimension mismatch costs a note in review, a re-pour on site. The review backlog converted cheap catches into expensive ones.
- Change orders compounded
Each CO silently modified documents already reviewed. Keeping the mental model current was a full-time job nobody officially had.
- Deadlines hid in appendices
Notice periods, submittal dates, cure windows — scattered contractual time-bombs, tracked in heads and highlighters.
Every page read. Every risk surfaced. Every claim cited.
Document intelligence reads every arriving document — contracts, drawings, specs, change orders, RFIs — and extracts what the team actually needs: obligations, deadlines, penalties, dimensions, and conflicts, each with a citation back to its page.
- Reads like a lawyer, measures like an engineer
Contract language and drawing geometry are different problems — the system handles both, and cross-references them, which is where the expensive surprises live.
- Citations on everything
Every extracted obligation links to its page and clause. Trust is checkable — which is why the senior PMs actually use it.
- Change orders diffed, not filed
Each CO is compared against every document it touches; affected teams are notified the day it arrives, not the week the conflict surfaces.
- Deadlines become calendar entries
Every dated obligation flows to the project calendar with its citation attached. The appendix time-bombs are defused on arrival.
Hundreds of hours back. Every month.
- Ninety percent of review time, returned
Senior staff read the flagged 10% — the risks, conflicts, and judgment calls — instead of the haystack around them.
- Page 187 stopped winning
Penalty clauses, notice periods, and obligations surface on day one, cited. The expensive sentence no longer hides in volume.
- Conflicts caught at note-cost, not re-pour-cost
Drawing-vs-spec mismatches are flagged before mobilization — the cheapest possible moment to be wrong.
- Bidding got faster and braver
With contract review measured in hours instead of weekends, the group evaluates more opportunities — and walks into every one knowing what §14.3 says.
The documents were never the problem. The reading was.
Construction documentation exists to protect the project — it just arrives in volumes only a machine can honestly read. Now one does. The expertise did not leave the loop; it moved to the top of it, where it always belonged.
What we didn't solve
Hand-marked redlines on scanned drawings still need a person to read them. The system extracts and cites what is typed; what somebody drew on afterwards is flagged rather than interpreted.
What’s hiding on YOUR page 187?
Send us nothing — just tell us your document volume. We’ll show you what machine-read projects look like, before you spend a dollar.
Want results like these?
Tell us where your team is losing hours. We'll show you exactly what automation can do about it — and what it's worth, before you spend a dollar.
30 minutes · No pitch deck · An honest first read