Modernizing Environmental Document Review With AI and Decision-Support Tools

Description

Participants in this 2-day training learn how to apply artificial intelligence and emerging technologies to review, evaluate, and quality-check environmental documents more efficiently and consistently, without compromising professional judgment or regulatory defensibility.

The course focuses on using AI to support document review across NEPA, permitting, compliance, and environmental planning contexts by improving consistency, identifying gaps, surfacing risks, and strengthening analytical clarity. Participants learn how experienced reviewers can integrate AI tools into existing workflows to reduce review time, improve issue identification, and support clearer decision-making.

Objectives

Upon completion of this workshop, participants will be able to do the following:

  • Integrate AI tools into environmental document review workflows while maintaining professional responsibility and judgment.

  • Evaluate environmental documents for analytical completeness, internal consistency, and regulatory alignment using AI-assisted techniques.

  • Identify missing information, unsupported conclusions, and analytical weaknesses more efficiently.

  • Apply AI to compare documents against regulatory requirements, guidance, and internal standards.

  • Improve review documentation, issue tracking, and coordination among interdisciplinary team members.

  • Use AI to support quality assurance and quality control (QA/QC) processes for environmental documents.

Content

AI as a Review and Decision-Support Tool

Understand where AI adds value in document review—and where human expertise remains essential.

Structuring Effective AI-Assisted Reviews

Learn how to prompt, scope, and constrain AI tools to support defensible review outcomes.

Consistency, Completeness, and Risk Identification

Use AI to identify inconsistencies, omissions, unsupported assumptions, and potential vulnerabilities.

Regulatory and Procedural Alignment

Apply AI to cross-check documents against applicable statutes, regulations, guidance, and internal procedures.

Managing Interdisciplinary Review Inputs

Learn techniques for synthesizing technical comments, agency input, and reviewer feedback using AI.

Documenting Review Decisions

Understand how to transparently document AI-assisted review findings for internal records and decisionmakers.

Audience

Participants for this training generally include environmental reviewers, resource specialists, team leaders, project managers, consultants, attorneys and agency professionals responsible for reviewing or approving environmental documents.

Process

This 2-day workshop is interactive and focused on practical application.

  • 60% Lecture

  • 40% Discussion and hands-on exercises

Materials

Participants receive the following:

  • Comprehensive Workshop Resources Workbook