While horizontal drilling and hydraulic fracturing significantly enhance well productivity, they have had the opposite effect on the land department. Prior to the shale revolution, running title often involved just dozens of acres, but today’s land managers and title attorneys must establish defensible title evidence for tens of thousands of acres, spanning many interest owners in just weeks.
Running title remains one of the most time-consuming, expensive and risk-prone activities in land management. And while the workload has increased, land teams are being asked to do more without adding headcounts.
For decades, energy companies have accepted the high cost of courthouse runs as “the price of doing business.” But in a competitive environment where acquisition speed, data accuracy and cost control define who wins the next lease, the hidden costs of traditional mineral title research and title management are no longer sustainable, underscoring the need to completely transform land workflow, not just make incremental improvement to the title process. Those who do it well will acquire prized acreage while competitors are still at the courthouse.
The Real Price of Courthouse Runs
Every trip to the courthouse impacts productivity and budgets. Between travel, lodging, meals and high landman day rates that can exceed $1,000 per day, costs compound quickly. The opportunity cost is even higher. Valuable hours spent driving, parking and searching physical index books could instead be used to analyze acreage, model scenarios, and make faster leasehold decisions. Physical title runs also create exposure to safety risks and burnout as landmen log long hours on the road, often in remote locations, working under tight acquisition deadlines.
When the title research is rushed, the risk of defects, like missed conveyances or outdated mineral ownership, rises sharply. Each defect introduces potential legal exposure and costly title curative work later in the acquisition cycle. The broader risk is that title defects have become an industry-wide status quo where risk tolerance and insurance coverage are common negotiating points in a purchase and sales agreement.
Even with partial digital access to courthouse data, many operators still rely on manual review of PDFs and scans, combing through every legal instrument line by line. The manual nature of this work continues to erode margins, delay transactions and impact employee satisfaction.
Building a Stronger Digital Foundation
The first major shift in title management came with digital backplants and scanned courthouse records. Courthouse File Viewer and other digital repositories allowed teams to access millions of historical records without leaving the office. Simplifying and accelerating the title process further, digital run sheet workflows brought structure, collaboration and accountability to title projects, reducing manual handoffs.
These innovations were significant, but they largely mirrored the old manual running title process in digital form. Landmen still had to interpret every deed, lease and assignment one line at a time. The bottleneck simply moved from a courthouse table to the computer screen.
Unlocking Land Productivity With AI
Building on the foundation of Courthouse’s digital records, title plants and run sheet workflow, the next transformation for land departments is automation powered by artificial intelligence. Traditional digital tools improve access, but AI can finally interpret. Enverus built Instant Analyst – Courthouse™ precisely to address this gap, leveraging the industry’s most comprehensive collection of 350 million courthouse records and training models on over a century of land and legal data.
Instant Analyst – Courthouse reads, interprets and summarizes complex legal documents in seconds, everything from mineral deeds and lease assignments to handwritten patents dating back to the 1800s. Instead of scrolling through 30-page PDFs, users can instantly see key details such as conveyed assets, restrictions, and effective dates. AI-generated abstracts attach directly to courthouse records and integrate with run sheets, creating an audit-ready record of every decision. The result is reliable automation that teams can trust amidst high-stakes lease acquisition or M&A work.
Measurable Results Where You Already Work
Unlike keyword search or optical character recognition alone, Instant Analyst – Courthouse uses contextual understanding. That means it doesn’t just extract words, it interprets meaning. Ask it, “What restrictions should I know about?” and it surfaces relevant clauses, summarizes obligations and highlights red-flag language automatically. The result is a new level of accuracy and speed that human reviewers can’t match.
This AI-powered approach eliminates the hidden costs and risks of traditional mineral title research. Importantly, Instant Analyst – Courthouse does not add to the growing stack of AI apps and patchwork solutions at many energy companies. It lives inside the solutions land teams already use. There’s no need for disconnected DIY solutions or generic AI platforms that require custom prompts and manual data prep. Everything runs on the trusted Enverus Courthouse platform, ensuring consistency, security and scalability.
A True Workforce Multiplier
Energy companies deploying AI in the land department report faster deal cycles, higher confidence in title chains and measurable cost reductions. By automating the most repetitive parts of title research, operators free up their most valuable resource, their people, to focus on strategy, not paperwork.
In an industry where timing determines competitive advantage, those who can confidently run title faster while improving accuracy will win the best acreage at the lowest cost. Instant Analyst – Courthouse delivers that edge, transforming title research from a bottleneck into a workforce multiplier.
Ready to see what Instant Analyst – Courthouse can save you? Use our Courthouse ROI Calculator now to quantify time and cost savings in your own workflow, then book a personalized ROI review with Enverus land experts.
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