Document Crunch

Document Crunch

Document Crunch is an AI risk intelligence platform built for construction contractors rather than general legal teams. Its model, CrunchAI, is trained on construction documents, so it understands how a flow-down clause shifts risk or where a markup changes meaning, and every flag it raises is cited to the exact clause. Document Crunch covers the project lifecycle: auto-redlining and version comparison during pursuit, spec review before bid day, and real-time risk tracking during construction. Project Assist is the agentic layer that turns findings into action, preparing submittals, notices, and RFIs for review and answering questions across every contract, spec, and addendum on a project. As of 2026 Document Crunch also codifies a firm's expert standards into playbooks so every project gets the same review.

Production credibility: Named customer quotes on the homepage from Ben Hur Construction (Vice President) and a Director at a second contractor, SOC 2 by default with an enterprise audit trail, and a Start a Trial path alongside demo requests.

Key Features

• CrunchAI, a construction-trained model that answers with citations to the source clause; if it cannot cite, it does not answer.
• Auto-redlining of contracts during pursuit, plus version comparison that summarises what changed between drafts.
• Pre-construction spec review that surfaces contradictions early so RFIs can be raised before the project starts.
• Project Assist agentic layer that drafts submittals, notices, and RFIs ready for review and answers questions across all project documents.
• Playbooks that codify expert standards so every review applies the same rigour regardless of who runs it.
• Risk assignment and tracking with an at-a-glance view of what is open, overdue, and done across pre-con, ops, and field teams.
• SOC 2 security by default, audit trail, and a contained model where customer contracts are not shared.

Ideal Use Case

A general contractor or subcontractor whose risk, legal, and project teams review long contracts and specs under bid deadlines. Document Crunch fits the firm that has lost money on a clause nobody noticed and wants findings tied to page and paragraph, then routed to an owner. Choose it over a generic contract AI when the vocabulary of flow-downs, addenda, submittals, and RFIs matters more than broad legal coverage.

How Document Crunch differentiates

Document Crunch is narrower than horizontal contract tools by design: it reads construction documents with construction context and extends past the contract into specs, submittals, and field questions through Project Assist. The cited-or-silent rule is a real differentiator for teams that have to defend a position in a dispute. The trade-off is that it is an enterprise, demo-led product with no public price list, and its value depends on loading the full document set for a project rather than a single agreement.

FAQ

Q: What does Document Crunch do? A: It reads construction contracts, specifications, and addenda, flags risk with citations to the exact clause, auto-redlines during negotiation, and tracks who owns each risk through closeout.

Q: Who is Document Crunch for? A: Contractors and construction firms: pursuit and pre-construction teams reviewing bids, plus operations and field teams who need answers from project documents during execution.

Q: How is Document Crunch different from a general AI contract reviewer like Ivo or Spellbook? A: Those tools serve in-house legal teams across industries. Document Crunch is trained on construction documents, handles specs and RFIs as well as contracts, and routes risk to project roles rather than only redlining.

Q: Is there a free trial? A: The site offers a Start a Trial button alongside Request a Demo; pricing itself is not published and is arranged with sales.

Q: How does Document Crunch handle security? A: The company states SOC 2 by default, enterprise-grade security, an audit trail, and that customer contracts stay contained to the customer.

tl;dr

Document Crunch is a construction-specific AI that finds and cites contract and spec risk, then drives the follow-up through Project Assist. Excellent fit for contractors; demo-led pricing and a whole-project data load are the cost of entry.