NEWS
Procore and NVIDIA accelerate AI factory construction with digital twins and real time simulation
Procore is accelerating the construction of AI factories through a new integration with NVIDIA Omniverse DSX Blueprint, connecting BIM data, 3D digital twins and real time simulation to physical construction workflows.
This collaboration creates a continuous digital thread across the construction lifecycle, enabling teams to deliver complex infrastructure faster, safer and with greater precision.
AI factories require tightly coordinated design and build processes, where even minor field changes can impact airflow, energy efficiency or GPU performance. By integrating Procore’ s platform with NVIDIA Omniverse, teams can simulate design updates in high fidelity digital twins, reducing risk and improving decision making before changes reach the jobsite.
The integration unifies Procore’ s system of work and collaboration with NVIDIA’ s system of reality, synchronizing data from over 15 BIM and CAD formats into a single live environment. Using OpenUSD and NVIDIA libraries, stakeholders gain real time visibility into every phase of construction while ensuring assets are optimized at handover.
With SimPacks and Procore AI, teams can model construction scenarios, test scheduling strategies and predict outcomes under real world constraints. Builders can reduce rework, maintain a unified source of truth and move beyond static drawings toward predictive planning.
“ What is built in the real world often drifts from the intended plan the moment a project breaks ground,” said Steve Davis, President of Product & Technology at Procore.
“ By moving beyond static drawings and models to predictive AI simulations, we’ ll help our customers to mitigate risk and improve performance in ways that were previously impossible.”
Learned Hand partners with Los Angeles Superior Court to pilot AI for judicial efficiency
Learned Hand, the AI company built exclusively for the judiciary, has announced a partnership with the Superior Court of Los Angeles County to explore how AI can support judicial officers and court staff across the lifecycle of a case.
The collaboration will provide a select group of judges with access to an AI workbench designed to assist with case review, summarization, legal research, analysis and drafting while preserving judicial independence.
All system outputs are linked to underlying case materials and pass multiple verification checks, enabling users to balance speed with accuracy. The initiative will evaluate how these tools affect efficiency, consistency and workload management in the nation’ s largest trial court.
Presiding Judge Sergio C. Tapia II said technology will assist preparation but judges will make final decisions. Court leadership underscored that generative AI will not replace judicial discretion and will be used only for administrative and research support with appropriate safeguards and policies aligned with California rules.
Learned Hand’ s platform supports workflows from filing through drafting, organizing records, generating structured preparation by motion type and verifying citations. The company’ s tools are already used by the Michigan Supreme Court and trial courts in multiple states.
The Superior Court of Los Angeles County serves more than 10 million residents across 36 courthouses with roughly 1.2 million filings each year. The court continues to pursue modernization efforts that improve access to justice, efficiency and service quality through responsible adoption of emerging technologies. Findings from the pilot will inform deployments, training and governance frameworks to ensure transparent, accountable and effective use.
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