Top 5 AI Construction Document Review Software in 2025

AI construction document review software is changing how project teams handle contracts, drawings, specifications, and RFIs. Instead of relying on slow manual checks, the software uses artificial intelligence to scan construction documents, flag risks, and catch errors before they cause problems.

In this article, we’ll explain what the AI software does, why it matters, and review the best options available in 2025.

What is an AI Construction Document Review Software?

AI construction document review software is a tool that uses artificial intelligence to read and analyze project documents. It checks construction contracts, specifications, submittals, and RFIs for risks, errors, and missing information.

The AI construction document review software uses natural language processing (NLP) and pattern recognition to compare versions and spot issues that might slip past human reviewers.

For example, an AI document review software can highlight a payment clause that shifts risk to the contractor, or detect a conflict between two sets of construction drawings. This helps project teams save time, reduce disputes, and keep projects moving.

Best AI Construction Document Review Software in 2025

In 2025, the best AI construction document review software combines speed, accuracy, and practical integration with project workflows. These platforms go beyond simple text scanning. They connect insights from contracts, specs, and reports to the decisions project teams make every day.

1. Mastt: Best Overall Construction Project Management Software with AI Document Review

Mastt is a comprehensive AI-powered construction project management software. Its AI construction document review feature scans contracts, reports, and drawings to pull out key details and flag risks, giving project teams faster insights and fewer surprises.

Beyond document review, Mastt connects AI directly to construction project controls. Mastt AI reads invoices and payment applications, auto-fills forms, checks payments against contract conditions, and generates dashboards and reports through its AI template studio. This makes AI part of everyday project workflows, not a separate step.

Key Features:

• AI Document Review that scans contracts, reports, and drawings to extract facts and highlight risks such as missing clauses or conflicting requirements.
• AI Pre-fill for contracts and payments that auto-fills key fields like dates, payment terms, and milestones from uploaded PDFs.
• Natural language queries that allow users to ask the AI questions in plain English and get document-backed answers.
• AI Agents that can be set up to handle tasks such as creating reports or monitoring cost thresholds in the background.
• Enterprise-grade security with SSO, MFA, and role-based access control to ensure only authorized users can view or edit documents.
• Privacy-first AI that does not train on your documents and keeps all prompts and responses secure.

Strengths:

The document review process is integrated directly with project controls, so flagged issues link back to cost, risk, and schedule data. This reduces manual checking and keeps the project team working from one source of truth.

Weaknesses:

Mastt AI is most effective when teams commit to its platform, which may require adjustments if you already use other software/tool. But once in place, it provides an all-in-one environment where document review connects directly to project controls, reducing the need for multiple tools.

Who is it for:

Construction professionals, especially owners, program managers, and consultants, who want AI for contract and payment reviews, plus real-time reporting, without stitching multiple tools together.

Accessibility:

• Mastt is available as a cloud-based platform with free and paid.
• The free plan supports one project with unlimited users.
• The Professional plan starts at around USD $150 per project monthly.
• The Enterprise plan includes features such as Single Sign-On (SSO) and ERP integrations.
• To explore plan options and choose the right fit for your projects, visit the Mastt Pricing page.

Mastt’s approach makes AI document review part of day-to-day workflows. By linking reviews to live project data, construction teams can act on insights immediately, rather than treating document review as an isolated task.

2. Procore AI (Copilot Search): Best for Fast Search Across Project Records

Procore AI centers on Copilot Search, which answers natural-language questions directly from your project records. It reads RFIs, Submittals, Specifications, Documents, and Drawings to surface the exact passages you need during document review.

Key Features:

• Natural-language Q&A over RFIs, Submittals, Specs, Documents, and Drawings, reducing time spent hunting through files.
• Procore AI platform with Agents, Insights, and Copilot features rolling out across the product suite.
• Submittal Builder can auto-generate a submittal log from specifications to speed early-phase reviews. (Process feature that supports review; not a risk-analysis engine.)

Strengths:

Copilot Search is embedded where teams already work, so reviewers can pull clauses, requirement references, and drawing callouts without leaving Procore. For large construction projects with thousands of records, this dramatically shortens lookup time and keeps reviews consistent.

Weaknesses:

Procore AI focuses on finding and summarizing information rather than legal-grade clause risk analysis. If you need automated redlines or policy-based acceptability scoring, you’ll pair it with a contract-specific tool.

Who is it for:

Project managers and coordinators who live in Procore needing fast answers from project documentation during reviews. It fits GCs and owners who want AI assistance without adding another standalone tool.

Accessibility:

• The AI is available within Procore.
• AI capabilities (Copilot, Agents, Insights) are being released across modules.
• Availability may depend on account settings and region.
• Check Procore’s release notes or your CSM.

Procore AI also enables faster, document-backed decisions. Instead of digging through folders or running multiple searches, reviewers can ask direct questions in plain language and get document-backed answers in seconds.

3. Autodesk AutoSpecs (Pype): Best AI for Construction Specs and Submittals

AutoSpecs (formerly Pype) uses AI to read specification books and generate a detailed submittal register in minutes, then suggests potentially missing submittals before they become costly issues.

Key Features:

• AI extraction from spec books to create an “ultra-accurate” submittal log (action, product, QA/QC, closeout, tests & inspections).
• “Suggested Submittals” uses machine learning (Construction IQ) to flag items that may be missing from the specs.
• Automatic specification sectioning in ACC for easier navigation and review.
• Direct publish to Autodesk Build Submittals; API and ACC-native workflow.

Strengths:

Purpose-built AI for construction specifications: it converts long spec books into a working submittal register and proactively identifies gaps, reducing manual effort and downstream RFIs. Tight integration with Autodesk Construction Cloud keeps the review inside your document ecosystem.

Weaknesses:

Focuses on specifications and submittals rather than full contract legal review. Quality depends on spec formatting; poorly structured specs may need cleanup before reliable extraction.

Who is it for:

Owners, GCs, and consultants who manage complex spec packages and want submittal logs generated and validated by AI at the start of a project, then synced to Autodesk Build for execution.

Accessibility:

• AutoSpecs is part of Autodesk Construction Cloud, designed to work seamlessly with ACC workflows.
• Pricing is by plan and typically requires contacting Autodesk.
• Training content and help docs are available, including step-by-step instructions to generate and review submittal logs.

AutoSpecs also changes the timing of document review. Instead of waiting for issues to surface during construction, teams can generate a complete, AI-verified submittal log at project kickoff.

4. Document Crunch: Best AI for Construction Contract Risk Review

Document Crunch is a construction-specific AI tool that reviews contracts and specifications. Its engine, CrunchAI™, highlights risks, obligations, and missing language so teams can spot issues early and apply consistent standards.

Key Features:

• AI clause analysis that flags indemnity, insurance, warranties, and notice obligations.
• Project Playbooks that standardize reviews based on company policies.
• Spec Review with guided checklists and “Chat with Specifications” to extract document-backed answers.
• Microsoft Word add-in for reviewing and redlining contracts in place.
• Integration with Procore to sync contract insights into project workflows.

Strengths:

Document Crunch translates complex contract language into plain, actionable insights. By embedding playbooks, it enforces company standards and improves consistency across every contract review.

Weaknesses:

Best suited for contracts and specs only. Document Crunch requires upfront setup of playbooks, and the AI’s accuracy depends on document formatting and configuration.

Who is it for:

General contractors, specialty contractors, and project managers who process large volumes of contracts and specs and need consistent, risk-aware reviews.

Accessibility:

• Document Crunch is available as a cloud platform with integrations into Word and Procore
• Pricing is custom and available directly from the vendor.

Document Crunch shortens review time and changes the process itself by turning contracts into checklists of flagged obligations. It helps teams shift from reactive reading to proactive risk management.

5. Buildots: Best AI for Construction Drawing and Progress Verification

Buildots is construction industry-specific, but it’s not a traditional contract or submittal reviewer. Its AI compares 360° site captures to the BIM model and schedule, then produces objective, visual evidence you can use during drawing/spec checks and monthly payment reviews.

Key Features:

• AI comparison of reality vs. BIM and schedule, with precise progress status and deviations.
• One-click export of detected issues to Autodesk BIM 360/ACC with photos, details, and floor-plan location for document-backed reviews.
• “Completed Quantities” report to validate applications for payment against verified installed work.
• Time-based review: compare current 360° imagery to prior captures or to the model to support design/spec verification threads.

Strengths:

Excellent for evidence-driven review of drawings/specs and pay apps: you get model-verified progress plus dated photos placed on plans, which reduces subjectivity in review meetings. Tight ACC/BIM 360 integration helps keep the discussion inside your document ecosystem.

Weaknesses:

Not a clause-level contract reviewer and not aimed at submittal/RFI text analysis. It also depends on having a BIM model and schedule as a baseline, and on regular 360° camera walks to feed the AI.

Who is it for:

Owners, GCs, and consultants who need defensible, visual proof when checking installed work against drawings and when validating monthly valuations. It fits teams already using Autodesk Construction Cloud.

Accessibility:

• Buildots is available as a cloud-based platform with native Autodesk integration.
• Issues and visuals can be exported directly to BIM 360 and ACC.
• Pricing is not listed publicly.
• Prospects should book a demo to determine the right access and pricing for their projects.

Buildots also reframes how document reviews connect to site reality. Instead of debating progress in meetings with subjective notes, reviewers can lean on visual evidence tied directly to design documents and schedules.

Why Construction Teams are Turning to AI for Document Review

Construction teams use AI for document review to cut down on errors, speed up the process, and manage risks more effectively. For project managers, owners, and consultants, it means handling large volumes of contracts and technical documents with greater accuracy and less effort.

• Faster Reviews: AI can process thousands of pages in minutes. This shortens contract cycles and helps projects move forward without delays.
• Fewer Errors: Manual reviews often miss conflicting requirements or vague language. AI highlights these issues early, reducing the chance of disputes or claims later.
• Better Risk Management: By flagging risky clauses or compliance gaps, AI gives teams a clearer view of potential problems before contracts are signed or work begins.
• Improved Collaboration: When documents are reviewed faster and more accurately, owners, consultants, and contractors can make decisions with the same information at the same time.

AI also changes the role of reviewers. Instead of spending hours searching for mistakes, teams can focus on interpreting results, negotiating fair terms, and making project decisions. This shift improves accuracy and frees time for higher-value project decisions.

Key Features to Compare Before Choosing

Not all AI document review tools are built the same. The features below decide whether the software actually saves time in the field or just adds another login screen.

• Data Safety and Security: Uploaded documents should stay private and secure. Look for platforms that use encrypted storage, region-based hosting, and clear policies that prevent your construction data from being used to train external AI models.
• Contract and Specification Analysis: Look for AI that can break down dense contracts and specs into clear obligations and risks. If it can’t spot missing payment terms or a one-sided indemnity clause, it won’t protect your project.
• Compliance and Standards Checking: The best tools check documents against codes, safety rules, or your own company playbook. This cuts down on non-compliant work and saves hours of manual cross-referencing.
• Document Comparison and Version Control: Revisions happen fast. Choose software that highlights changes between versions so you don’t miss a clause quietly added in the latest draft.
• Risk Identification and Alerts: AI that flags vague language, liability shifts, or conflicting requirements helps teams spot problems before they sign off. Tools differ in how clearly they present these risks.
• Integration with Project Platforms: Check if the software connects with the systems you’re already using. Integrations save time by pulling reviewed documents straight into daily workflows.
• NLP Accuracy: Strong NLP means the software actually understands construction language. Weak NLP means you’ll spend more time fixing its mistakes than reviewing documents.

AI features also differ in how much control you have over them. Some platforms let you set up playbooks, checklists, or custom rules so the system reviews documents the way your company works. Others give you a one-size-fits-all approach, which may miss the specific risks you care about most.

How to Choose the Right AI Software for Your Projects

Choosing the right AI construction document review software comes down to matching the tool with your project needs, budget, and existing workflows. The steps below keep the decision practical and focused.

Step 1: Define Your Review Needs

Decide what type of documents matter most. If contracts drive your risks, focus on tools with strong clause analysis. If submittals or specs slow you down, look for platforms that can auto-generate logs and highlight compliance issues.

Step 2: Compare Pricing Models

Check how the vendor charges: by project, by user, or by enterprise license. Match the model to how many projects you run each year. A per-project plan can work well for owners with varied workloads, while enterprise plans may suit large contractors.

Step 3: Check Integration with Current Tools

See if the AI connects to your existing systems like Procore, Aconex, or Autodesk Construction Cloud. Without integration, you’ll waste time moving files between platforms.

Step 4: Test NLP Accuracy

Run a trial on your own contracts or specs. Make sure the AI understands construction language and flags the risks you care about. Watch out for “hallucinations,” where the AI invents answers not in the document. A demo on generic files won’t prove real accuracy. Only testing with your own documents will.

Step 5: Consider Training and Adoption

Ask how much training the system requires. Some tools work out of the box with guided playbooks, while others need setup and custom rules. If your team isn’t comfortable with AI yet, choose software that’s easy to learn.

Step 6: Pilot Before Scaling

Start with one project to see how the AI performs. Measure how much time it saves, how accurate the outputs are, and whether the team actually uses it. Scale only after you see real results.

AI tools also differ in how they evolve with your projects. Some improve as you feed them more documents, learning your contract language and standards over time. Others stay static, giving the same output no matter how much you use them. This difference can shape whether the tool becomes a long-term partner or just another one-off experiment.

Final Thoughts: Future of AI in Construction Document Management

AI in construction document management is moving beyond review and search. New AI systems are starting to draft contracts and submittals. Some also suggest edits based on company rules, and link documents directly to budgets, schedules, and risks. Instead of just flagging issues, these tools will predict where disputes or delays are most likely to appear.

As adoption grows, the advantage will come from how well AI fits into existing workflows. Teams that connect AI review outputs to project controls, compliance checks, and payment systems will reduce errors and make faster, more confident decisions. Over time, AI will become part of how projects are managed from planning through closeout.