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Managing Contract Risks of AI & Digital Tools in Construction Before Peak Season | Seyfarth Shaw LLP

Embracing AI in Construction: A Pre-Peak Season Guide

Artificial intelligence (AI) and advanced digital tools have firmly established themselves within the construction industry. As we enter the first quarter of 2026, their impact on project management aspects—ranging from schedules and estimates to safety reporting and daily documentation—is becoming increasingly evident. With the peak construction season approaching, teams are eager to adopt these technologies to enhance their efficiency.

However, one area that often lags behind this technological advancement is the contractual framework that governs the usage of these tools and how their outputs are handled in cases of discrepancies.

Where AI Is Making Its Mark on Job Sites

Project teams across the region are deploying AI-enabled tools for various applications, including:

  • Modeling schedule scenarios and conducting “what-if” sequencing;
  • Performing estimating takeoffs and analyzing productivity;
  • Drafting or summarizing RFIs, submittals, and meeting minutes;
  • Generating safety documentation and incident reports.

While these tools can significantly reduce administrative burdens, they also introduce new concerns: Who relies on the output? How thoroughly was it reviewed, if at all? Is the contract clear on whether that output is authoritative?

Six Contract Issues to Address Now

Before the peak season commences, it is essential for owners, contractors, and design teams to revisit critical contract areas:

  • Reliance and Standard of Care: AI outputs should serve as assistance rather than final determinations. Contracts that imply reliance on automated outputs can lead to claims regarding accuracy or completeness, increasing risks in delay or defect disputes.
  • Data Ownership and Use Rights: Since many AI tools utilize project data, contracts must clearly outline who owns both the inputs and outputs, as well as whether vendors can use that data for training or other applications. This is particularly crucial in California projects dealing with public entities or proprietary designs.
  • Confidentiality and Privilege: Entering RFIs, correspondence, or legal analyses into AI platforms may raise confidentiality issues. Teams should verify that AI platform usage adheres to confidentiality obligations and does not inadvertently compromise protections.
  • Cybersecurity and Access Controls: Project owners are now demanding stronger cybersecurity measures. Contracts should delineate access permissions, subcontractor usage of the tools, and obligations for notifying parties in the event of data breaches.
  • Record Authenticity and Audit Trails: Disputes often hinge on the trustworthiness of project records. If AI assists in generating logs, reports, or summaries, clarity regarding human oversight, version control, and document retention is essential.
  • Flow-Down to Subcontractors: Inconsistencies in tool usage across various tiers present risks. If AI is permitted—or restricted—at the prime contract level, subcontract agreements should align with those expectations.

Practical Controls for Peak Season

In addition to refining contract language, leading project teams are implementing operational measures to facilitate seamless integration:

  • Clearly defined acceptable and prohibited AI use cases;
  • Mandatory human review for schedule, cost, and safety outputs;
  • Training for project managers on areas where AI cannot replace professional judgment;
  • Collaboration among legal, IT, and project leadership to address potential disputes proactively.

These measures ensure that while pursuing efficiency, project teams maintain defensibility.

As projects increasingly incorporate complex delivery methods, tight timelines, and sophisticated stakeholders, the drive to utilize AI and other digital tools intensifies. However, when disputes arise, the emphasis rapidly shifts to the documentation, reliance, and contractual accountability.

AI can serve as a powerful asset in project management, provided it is deployed effectively and within the bounds of the governing contract. As teams prepare for peak season, now is the time to ensure that technology serves to enhance project delivery rather than complicate potential disputes.

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