DisputeLens

Large construction projects have complex systems of contracts. Construction often deviates from the original plan. Delays, scope changes, and ongoing renegotiation can all result in disputes about how much money is actually owed between parties. To win a dispute, a contractor might spend weeks looking through thousands of documents, including the original contract, emails, and site reports. They have the burden of proving what the final agreement was, and what actually occurred on site. Their team may lack legal expertise and fail to submit sufficient evidence, ultimately losing a dispute that was rightfully theirs to win. For this reason, contractors often hire external counsel. Globally, construction companies pay lawyers $7.3 billion annually to handle these contract disputes. Much of this is spent before a contractor even knows their chance of winning. We propose a software that automatically pulls relevant textual evidence from the project documentation. A contractor could request evidence on a particular issue and the software would use predictive AI to sort results according to relevancy. This will allow contractors to understand potential claims before paying legal fees.