AI for Dispute Resolution

The Full Picture

Construction disputes are document problems. By the time a claim reaches mediation or arbitration, the relevant facts are spread across tens of thousands of emails, meeting minutes, RFIs, submittals, change orders, daily logs, and schedule updates. Building a reliable chronology from that record is slow and expensive, and it drives much of the cost of resolving a dispute.

AI tools address the record, not the ruling. They ingest project documents, extract dates, parties, and topics, classify records by issue, and assemble timelines linking events such as a design change, the RFI that raised it, and the delay that followed. Language models can summarize long threads and answer questions about the record with citations, while search tools find related documents that keyword queries miss.

In practice, a claims consultant or attorney uses AI to organize a dispute file in days rather than weeks, test whether notice was given on time, and identify documents that support or undermine each position. Parties heading to mediation arrive with a shared, well-organized factual record, which often narrows the issues that actually need to be decided.

The preconstruction connection is prevention. Many disputes trace back to ambiguity in the contract, gaps between drawings and specs, and scope that was never clearly assigned. Clear scopes, documented assumptions, and well-kept records from precon onward make any later dispute shorter and cheaper.

Good use of AI in disputes keeps every conclusion traceable to a source document and treats model output as a research aid. Poor use relies on unsupported summaries, which opposing experts and neutrals will challenge. Confidentiality and privilege also require care in where documents are processed.