How a Fortune 500 Customer Used BUL’s AI Meeting Tools to Resolve a Major Construction Dispute

Construction projects are complex by nature, and when schedules slip or mistakes happen, figuring out who is responsible can become a costly and time-consuming battle. One of our Fortune 500 customers recently faced this exact challenge — and used BUL Technologies’ AI meeting and local file tools to cut through the noise and find the truth.

The Challenge: Hours of Evidence, No Clear Answers

On a large concrete subcontractor dispute, both sides claimed they were not at fault. The evidence included:

29 video files, each 1.5 hours long (≈43.5 hours of recordings) from onsite meetings and records.
Multiple conflicting schedules from different subcontractors.
Change orders and delay claims that impacted the entire project.

Traditionally, reviewing this much material would take months of manual work by lawyers, project managers, and consultants. The question was: Who was late? Who made the mistake? Which change orders were valid?

The Solution: AI-Powered Meeting Summaries & File Analysis

Using BUL’s AI meeting assistant, the project team uploaded all 29 files into our system. Within minutes, BUL automatically:

Transcribed and summarized 43+ hours of subcontractor video recordings.
Identified the actual construction schedule from discussions.
Pinpointed who was behind schedule and which party caused delays.
Highlighted mistakes made by different subcontractors.
Distinguished delays caused by weather versus delays caused by human error.
Mapped out which other trades were impacted by the knock-on effects of the delay.
Organized change orders to show which were legitimate and which were not.

The Outcome: AI Evidence in Public Court

The summarized findings were presented in public court as part of the legal proceedings. Instead of relying on conflicting testimonies, the court reviewed BUL’s AI-generated reports to clearly see:

Which subcontractor owned responsibility for delays.
How much money was owed and by whom.
The exact schedule impact caused by weather versus contractor delays.
Which change orders were valid — and which were rejected.

What could have been months of legal wrangling turned into a data-driven case that was resolved efficiently and fairly.

Why This Matters

This case is a powerful example of how AI can transform construction dispute resolution:

Faster: 43+ hours of video summarized in minutes.
Smarter: AI identified facts humans could have missed in hours of discussion.
Fairer: Court decisions were based on real project data, not conflicting opinions.

At BUL Technologies, we’re building tools to make construction more transparent, efficient, and reliable. Whether you’re a subcontractor, GC, owner, or legal team, our AI agents can help you save time, reduce risk, and resolve disputes with confidence.