Dispute Avoidance/Adjudication Boards (DAABs) sit at the sharp end of modern FIDIC-style contracts. When a mine expansion or rail corridor slips into conflict, the board must sift mountains of evidence and deliver a reasoned decision often inside an 84-day window after the dispute lands on its desk.
That deadline hasn’t changed, but project data has exploded. Every RFQ email, daily progress report, drone survey, BIM revision, variation notice and scheduling update ends up in the disclosure bundle. On a multi-billion-dollar EPC, it isn’t unusual for the archive to run to tens of thousands of PDFs, spreadsheets and native files—more than any three-person panel can read line-by-line. The result is a widening gap between what must be understood and what can be digested by humans within the contractual timeframe.
This is precisely where AI pulls its weight. By feeding the entire disclosure set into Hevi’s secure cloud-hosted platform, a DAAB gains an always-on research assistant that:
Security matters when the stakes reach nine or ten figures. Hevi keeps every byte inside an Australian-hosted, tenant-isolated environment; no data is routed through public APIs. The platform also logs every question asked and every source opened, so panel members can show their methodology if a decision is later challenged.
Because AI answers are hyper-linked back to primary sources, a board member can paste excerpts straight into a draft determination and attach the pinpoint citation without hunting through folder trees. That transparency is vital for credibility and helps ensure neither party can argue that key exhibits were overlooked.
Ready to see what reviewing five times the evidence base feels like—without extending the sitting schedule?
Book a private demo with the Hevi team and explore how AI can slot seamlessly into your DAAB workflow while keeping every page, footnote and privilege intact.