Construction Claims Analysis AI
AI for analyzing and supporting construction claims and disputes.
Definition
Construction Claims Analysis AI uses artificial intelligence to analyze construction claims and support dispute resolution. These systems can organize project documentation, identify relevant correspondence, analyze schedule impacts, and quantify damages. AI helps claims professionals build stronger cases while reducing the time required for analysis.
In Depth
Construction claims involve reconstructing a narrative from thousands of documents — contracts, correspondence, RFIs, change orders, schedule updates, daily reports, and meeting minutes — to establish the timeline, causation, and damages associated with a dispute. AI accelerates this document-intensive analysis dramatically.
The timeline reconstruction is the most valuable capability. AI reads every dated document in the project record and constructs a chronological narrative: when issues were first identified, when notifications were provided, when the parties responded, and how events unfolded. This timeline, which might take a claims consultant weeks to build manually, forms the factual foundation for the claim analysis.
Examples
Organizing documents chronologically for claims
Identifying relevant communications
Analyzing schedule impacts for delay claims
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Construction Claims Analysis AI uses artificial intelligence to analyze construction claims and support dispute resolution. These systems can organize project documentation, identify relevant correspondence, analyze schedule impacts, and quantify damages. AI helps claims professionals build stronger cases while reducing the time required for analysis.
Organizing documents chronologically for claims. Identifying relevant communications. Analyzing schedule impacts for delay claims.
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