Document Crunch

AI-powered construction contract intelligence and risk management

Contract intelligence platform that simplifies construction contracts by automatically identifying critical risk provisions, flagging compliance issues, and providing AI-powered analysis across RFPs, contracts, specifications, and project documents. Uses CrunchAI™ (powered by OpenAI and Anthropic models) with Retrieval-Augmented Generation to deliver construction-specific insights. Integrated with Procore and Microsoft Word for seamless workflows.

$39.1M raised Established

Founded 2019 · 10,000+ projects deployed, $350B+ construction volume processed (Turner Construction, Skanska, DPR, multiple ENR Top 100 contractors)

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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction teams spend 3-5 hours per RFP, contract, or specification manually reviewing complex legal documents to identify risks, flag missing information, and understand obligations. Without automated review, teams miss critical payment terms, insurance requirements, and indemnification clauses that create financial exposure. Legal disputes arise weeks or months into projects due to overlooked contract provisions. Specialty contractors and subcontractors lack access to legal expertise for document review, leading to poor bidding decisions and change order disputes.

The Solution

AI-powered platform that analyzes contracts, RFPs, and specifications in 10 minutes using CrunchAI™, which combines construction-specific training data with large language models (OpenAI/Anthropic) and retrieval-augmented generation. Platform identifies critical clauses, flags risks, summarizes documents in plain language, and provides expert-built guidance. Integrates with Procore (daily insights to field teams) and Microsoft Word (in-document analysis and redlining). Reduces contract review time by up to 80% while ensuring comprehensive risk coverage.

USAGE

How You Use It

Delivery Method

SaaSWeb AppDesktop PluginMobile App

Integrations

ProcoreMicrosoft WordConsensusDocs

Disciplines

Construction, Contract Management, Risk Management, Project Management, Legal/Compliance

Project Phases

Bidding/Procurement, Preconstruction, Construction Administration

Project Types

Commercial, Residential, Infrastructure, Mixed-Use, Industrial, Healthcare, Education

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required: Construction contracts, RFP documents, Project specifications

Optional: Amendments, Insurance requirements, Payment terms, Schedule-related clauses, Subcontract terms

Formats: PDF, Word (.docx), Text documents, Contract images, Specification documents

Output

What you get

Format: Risk analysis reports with plain-language summaries and actionable insights

Fields: Risk flags and classifications (payment risk, insurance gap, indemnification exposure), Critical clause summaries (payment terms, insurance requirements, change order procedures), Compliance checklist status (missing provisions, non-standard terms), Plain-language summaries of complex legal language, Expert-built guidance and playbooks for specific clause types, Side-by-side contract comparison (identifying changes between versions), Integration with project schedule (timeline-linked obligations), Redline markup suggestions in Word, Risk exposure quantification, Chat-based Q&A interface (CrunchAI™ for natural language queries)

Algorithm

How it works

Model: CrunchAI™: Proprietary construction-specific models trained on standard form contracts, specifications, and insurance documents, leveraging frontier models from OpenAI and Anthropic with Retrieval-Augmented Generation (RAG) for construction data

Accuracy: Proprietary accuracy metrics not publicly disclosed; claims AI-assisted review reduces risk identification time by 80%; validation through expert-built checklists and playbooks

Privacy

How your data is protected

Retention: Project-based data retention; retention duration beyond project end not publicly specified

Training: Customer data training practices not publicly specified; RAG architecture suggests minimal production data use

Compliance: SOC 2 Type II certified, GDPR-compliant (safeguards for EU/UK data transfers), Privacy Policy updated September 2024

API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

USE CASES

Use Cases

· RFP evaluation: Quickly identify red flags and compare terms across competing RFPs to assess risk exposure before bidding
· Contract risk management: Identify critical payment terms, insurance requirements, and indemnification exposure to reduce change order disputes
· Specification review: Analyze project specifications for conflicting requirements and clarify ambiguous technical language
· Subcontract management: Ensure subcontracts include required insurance, bonding, and indemnification clauses matching GC obligations
· Preconstruction document review: Standardize contract review process to ensure consistent risk evaluation across all projects
· Change order validation: Cross-reference change orders against original contract terms to ensure compliance with contract procedures
· Payment terms analysis: Flag payment terms that create cash flow risk and identify alternative payment structures
· Field team guidance: Push daily contract insights to field teams via Procore for quick reference on obligations and change procedures
· Construction attorney support: Provide construction attorneys with objective AI analysis to focus legal expertise on high-risk clauses

PRICING

Pricing

Free

Contact for trial/demo (no specific free tier publicly listed)

Pro

Contact for custom pricing based on usage (ConsensusDocs subscribers receive 10% discount)

Enterprise

Custom enterprise agreements with volume discounts and integration support

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Research Sources & Data Quality Last verified: 2026-04-04

Data Sources (17)

Verified Data (17)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, algorithm-model, algorithm-approach, privacy-compliance, useCases, input-formats, output-structure

Not Found (6)

exact-pricing-tiers, api-documentation, specific-data-retention-days, training-data-practices, algorithm-accuracy-metrics, performance-benchmarks

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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