Digital Transformation in Oil & Gas: What's Working (And What's Not)
A 5-minute read on why some energy companies are crushing digital transformation while others are stuck spinning their wheels.
By Ben Brussat
Expert Insights for Land & Energy Teams
Stay informed with the latest trends, best practices, and industry insights from land management and energy professionals.
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How Blackstone's Enverus deal changes the Land & Energy landscape
How Blackstone's acquisition of Enverus signals a data-driven transformation in the energy industry
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Landman Does Not Live on RAG Alone
While RAG can find information, it struggles to truly understand the interconnected documents of the energy industry. Learn how new AI tools are bridging the gap from 'finding' to 'acting'.
By Nolan Tremelling
Beyond Generic AI: Why Domain-Specific Intelligence Matters in Land & Energy
The manual task of identifying leases that require consent to assign can slow down divestitures and introduce errors. Learn how Rowland transforms this workflow by intelligently analyzing lease packets and automating the entire paper trail.
By Nolan Tremelling
The Document Whisperer: How Rowland Reads What Others Can’t
Transform your team's standard Word and PDF templates into interactive, AI-powered tools. Rowland automates the repetitive work of filling out forms like consent letters and lease summaries, so you can focus on high-level review and strategy.
By Jerris Johnson
Accelerating Divestitures: How Rowland Streamlines Consent to Assign Provisions
The manual task of identifying leases that require consent to assign can slow down divestitures and introduce errors. Learn how Rowland transforms this workflow by intelligently analyzing lease packets and automating the entire paper trail.
By Jerris Johnson
Reflections on the 71st IRWA Conference
Key reflections from the 71st IRWA Conference show a major shift in the right-of-way industry. The conversation around AI has moved from speculative to practical, while the need for standardization and the value of human expertise remain central to the profession.
By Jerris Johnson
Streamline Your Document Workflow: Use Rowland to Create and Interact with Company Forms and Templates
Transform your team's standard Word and PDF templates into interactive, AI-powered tools. Rowland automates the repetitive work of filling out forms like consent letters and lease summaries, so you can focus on high-level review and strategy.
By Jerris Johnson
Bridging the Generational Knowledge Gap in Land Management: How AI Is Preserving Industry Expertise
The land management sector is facing a generational knowledge gap as seasoned professionals retire. This post explores how AI can preserve and transfer that invaluable expertise, turning decades of documents and institutional memory into a living knowledge base.
By Jerris Johnson
Why Rowland Outshines Other Chatbots for Land Professionals
While generic chatbots are a dime a dozen, Rowland is a specialist built from the ground up for land professionals. It understands the unique documents, provisions, and workflows of the oil and gas industry, providing relevant insights that other AI tools miss.
By Jerris Johnson
How to Get the Most Out of Rowland: Effective Prompts for Land Professionals
Unlock the full power of Rowland with this practical guide to effective prompting. Learn how providing specificity, context, and key industry terms can transform your requests into precise, actionable results for all your land management tasks.
By Jerris Johnson
Rowland’s Big Moment at NAPE Summit 2025: A Glimpse into the Future of Land Management
Recapping Rowland's successful debut at the NAPE Summit 2025. This post covers key takeaways from the event, from hands-on demos to attendee feedback, and showcases how AI is set to transform the future of land management.
By Jerris Johnson
Land Management8 min read
Rowland Resolves Decades-Long Misinterpretation in Oil and Gas Title Work
A single, misunderstood clause in a deed led to 50 years of incorrect leases. This case study explores how Rowland's AI-powered analysis identified the error, providing the clarity needed to correct a decades-long mistake.
By Jerris Johnson
land managementAI