PermitAI

Faster federal permitting using AI

PermitAI Hero Image

(Photo composite by Shannon Colson | Pacific Northwest National Laboratory)

About PermitAI

Clearing the path for critical infrastructure

For over 50 years, the National Environmental Policy Act (NEPA) has required agencies to conduct environmental reviews and document the potential impacts of proposed actions. However, these important documents must be collected from a range of sources, making the process time-consuming and costly.

Pacific Northwest National Laboratory (PNNL) is building a one-stop data platform and a powerful suite of artificial intelligence (AI) tools to streamline and accelerate the review process for critical federal infrastructure.

  • PermitAI’s testbed is equipped with specialized large language models and a vast repository of historical environmental review data.
  • SearchNEPA, EngageNEPA, and CommentNEPA will enable local, state, and federal agencies to make faster, more informed permitting decisions, reducing delays and costs.       
     

How can AI improve environmental permitting?

Leveraging the expertise of the Department of Energy and national laboratories, PNNL is leading the way in developing AI-powered tools to improve environmental reviews and permitting across the federal government.

The foundation of these tools is a comprehensive dataset of past environmental reviews and permitting documents containing millions of pages and billions of words. Building on this dataset, PNNL is testing AI-powered applications focused on accelerating individual tasks and workflows. Users of these applications can do the following, and more:

  • Instantly recall and reference relevant federal environmental reviews (e.g., environmental impact statements, environmental assessments, and categorical exclusions) in new projects and provide summaries of key conclusions and data from those reviews

  • Rapidly discover, evaluate, and compare specific data that would be difficult or even impossible to locate through traditional research methods

  • Automate rote, repetitive workflows in the following ways:

    • Performing an initial review of correspondences and categorization of comments (e.g., from the public, other federal agencies, Tribal leaders, and industry), allowing subject matter experts to begin addressing the substance of comments as soon as they are received

    • Importing data from an applicant’s documentation into an environmental impact statement or environmental assessment and citing that documentation to expedite drafting and confirmatory analyses

    • Finding and highlighting apparent inconsistencies in data points or writing styles across different sections of a document.

What PermitAI is doing

PermitAI Data Platform

Data Collection, Enrichment, Management, and Governance

PermitAI is creating standardized data to improve quality and access. This includes building connections for NEPA data, including data on projects, processes, documents, and public involvement as well as comments and geographic information system records.

 

 

PermitAI Models and Benchmarks

AI Model Development and Evaluation

Using large language models to analyze thousands of environmental review documents, like categorical exclusions, environmental assessments, and environmental impact statements, can boost efficiency. This method can help to uncover trends, create a detailed map, and catalog all NEPA efforts.

 

 

PermitAI Application Development

NEPA Application Development and Deployment

The PermitAI team offers safe and reliable support to NEPA experts and users in government agencies, academia, Tribal governments, and the public for developing and evaluating permitting tools and applications.

 

 

Contact Us

Have questions about PermitAI? Want to share your work in this space? Email us at permitai@pnnl.gov with questions, feedback, or general inquiries.

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