Industry Watch: AI in Construction Disputes Is Only the Beginning

The construction industry rarely moves first with new technology.

It waits.
It watches.
Then it adopts, carefully, and usually late.

That’s why a recent announcement from the American Arbitration Association’s International Centre for Dispute Resolution (AAA-ICDR) deserves attention. Not for what it solves today, but for what it signals next.

AI is no longer staying on the sidelines.

What the AAA-ICDR Announcement Actually Changes

In late 2024, the AAA-ICDR announced the introduction of an AI-assisted arbitrator for a narrow category of construction disputes.
The scope is intentionally limited: two-party cases, document-only proceedings, and a human arbitrator who reviews and issues the final award.

According to reporting summarized by Lexology, the system is trained on more than 1,500 historical construction arbitration decisions and is designed to draft awards that a human arbitrator can accept, revise, or reject.
(Source: Lexology, “AAA-ICDR Launches AI-Assisted Arbitration Tool” – https://www.lexology.com)

The benefits cited will sound familiar to anyone who has managed a dispute:

Lower cost
Faster resolution
Greater consistency
Expanded access for smaller claims that rarely justify full arbitration

On its face, this is a procedural efficiency play.

But that framing misses the larger implication.

AI is no longer just supporting decisions.
It is beginning to shape them.

This Is Not About Arbitration Alone

Dispute resolution is simply the most visible entry point.

The real story is that AI is already moving across the entire construction lifecycle—and accelerating.

Design: Generative design tools now test program layouts, massing options, and spatial efficiency in minutes, not weeks. Autodesk and Bentley both report material productivity gains from AI-assisted design workflows.
(Autodesk Construction Cloud Insights – https://www.autodesk.com)
Engineering: AI-assisted structural and MEP analysis is compressing review cycles and flagging conflicts earlier, reducing downstream RFIs and redesign.
(ENR, “How AI Is Changing Structural Engineering” – https://www.enr.com)
Project controls: Project management platforms are evolving from passive dashboards into predictive systems—forecasting delays, identifying risk trends, and recommending corrective actions.
(McKinsey, “The Next Normal in Construction” – https://www.mckinsey.com)

Once that trajectory is clear, the next step is obvious.

Permitting and Plan Review Will Follow

Building departments are chronically understaffed. Review backlogs delay projects and frustrate owners across every market.

AI-assisted plan review is an inevitable response.

Early screening for code compliance, dimensional conflicts, accessibility issues, and life-safety requirements could occur before a human reviewer ever opens the file. Speed and throughput will drive adoption, just as they have elsewhere.

This is not speculative. Pilot programs are already underway in several jurisdictions globally.
(World Economic Forum, “Digitizing Ukraine’s construction permitting process” – https://www.weforum.org)

The construction industry is changing—even where it has historically resisted change.

Speed Will Be Rewarded

There is no question these technologies reduce cost.
They also compress schedules and, in many cases, reduce certain categories of error.

Owners under pressure to deliver faster and cheaper will see this as progress.

And in many respects, it is.

But speed always carries tradeoffs.

Creativity does not optimize easily.
Judgment does not scale cleanly.
The instincts of an experienced superintendent or the improvisation of a skilled craftsperson do not translate neatly into algorithms.

Construction has always balanced:

Systems and people
Standardization and improvisation
Process and craft

AI shifts that balance decisively toward process.

That does not make it wrong.
It makes it something owners must engage with deliberately, not passively.

What Owners Should Be Thinking About Now

The real risk is not that AI will make construction worse.

The risk is that it will be adopted without clarity around governance, accountability, and responsibility.

As AI moves deeper into design, engineering, project controls, dispute resolution, and permitting, owners will need to answer hard questions:

Who is accountable when an AI-driven recommendation is wrong?
How is transparency preserved in automated decision paths?
Where does human judgment remain essential and where is it quietly displaced?

These are not abstract concerns.

They will surface in:

Contracts and liability language
Procurement strategies
Staffing models
Project outcomes

At GOA, we see technology as a force multiplier, not a substitute for judgment. Owners regain control when systems are structured intentionally, with clear lines of responsibility and decision authority.

AI Is a Marker, Not the Destination

AI-assisted arbitration is not the end of the road.

It is an early marker along a much longer one.

The construction industry will change whether we are ready or not. The choice is whether owners react after systems are imposed, or engage now, with eyes open, intent clear, and risks understood.

As always, the technology is only part of the equation.

The harder work lies in how we choose to use it.

Discussion Prompts

Where are you already seeing AI influence decisions on your projects?
What processes should never be fully automated?
How are you addressing accountability as systems become more predictive?