AI in Construction Discovery: Insights from HaystackID Experts

In a recent episode of "Illumination Zone," Sam Morgan and Mark MacDonald from HaystackID shared their expertise on AI-powered document review in the construction industry. The discussion, which took place at the 2025 Construction Super Conference in Florida, highlighted the challenges and advancements in managing construction-related proprietary files and the role of AI in streamlining dispute resolution processes.

Sam Morgan, Director of Legal Solutions, and Mark MacDonald, SVP of Business Development, emphasized the unique complexities of construction documentation, including partially repetitive items like change orders. These documents are critical in disputes, and traditional methods of reviewing them can be time-consuming and inefficient. HaystackID has implemented AI to address these challenges, enabling faster and more accurate processing of large volumes of data.

AI in Construction Discovery: Challenges and Solutions

Construction projects generate a vast amount of documentation, from blueprints and contracts to change orders and progress reports. Managing and reviewing these documents during disputes can be a daunting task. Sam and Mark discussed how AI helps by automating the identification and categorization of key documents, reducing the need for manual review. This not only speeds up the process but also ensures consistency and accuracy.

One of the key challenges in construction discovery is the variety and volume of data. Construction files often include a mix of text, images, and other proprietary formats. AI-powered tools can handle this diversity, making it easier to sift through the data and identify relevant information. This is particularly important in disputes where time is of the essence and accuracy is crucial.

The Future of AI-Powered Document Review

The integration of AI in document review is not just about efficiency; it's also about enhancing the quality of the review process. By leveraging machine learning algorithms, AI can learn from past reviews and improve its accuracy over time. This continuous learning process ensures that the review becomes more refined and reliable with each use.

Sam and Mark also touched upon the future of AI in construction discovery. They envision a scenario where AI becomes an integral part of the construction industry, assisting in various aspects beyond document review. This could include predictive analytics for project management, risk assessment, and even real-time monitoring of construction sites.

In conclusion, the insights shared by Sam Morgan and Mark MacDonald highlight the transformative potential of AI in the construction industry. As AI technology continues to evolve, its application in document review and other areas of construction will likely become more widespread, leading to greater efficiency, accuracy, and overall project success.