These two Houston software companies are making contracts less cumbersome for oil and gas companies

Team work

James Yockey is a co-founder of Landdox, which recently integrated with ThoughtTrace. Courtesy of Landdox

The biggest asset of most oil and gas companies is their leasehold: the contracts or deeds that give the company the right to either drill wells and produce oil and gas on someone else's land, or give them title to that land outright. A typical oil and gas company is involved in thousands of these uniquely negotiated leases, and the software to keep these documents organized hasn't been updated in more than a decade, says James Yockey, founder of Houston-based Landdox.

Landdox does just that: provides an organizational framework for companies' contracts and leaseholds. The company recently entered into an integration with Houston-based ThoughtTrace, an artificial intelligence program that can scan and pull out key words and provisions from cumbersome, complicated contracts and leaseholds.

With this integration, companies can use ThoughtTrace to easily identify key provisions of their contracts, and then sync up those provisions with their Landdox account. From there, Landdox will organize those provisions into easy-to-use tools like calendars, reminders and more.

The framework behind the integration
The concept behind Landdox isn't entirely new — there are other software platforms built to organize oil and gas company's assets — but it's the first company in this space that's completely cloud-based, Yockey says.

"Within these oil and gas leases and other contracts are really sticky provisions … if you don't understand them, and you're not managing them, it can cause you to forfeit a huge part of your asset base," Yockey says. "It can be a seven-, eight-, or nine-digit loss."

These contracts and leases can be as long as 70 or 80 pages, Yockey says, and have tricky provisions buried in them. Before the integration with ThoughtTrace, oil and gas companies would still have to manually pour over these contracts and identify key provisions that could then be sent over to Landdox, which would organize the data and documents in an easy-to-use platform. The ThoughtTrace integration removes a time-consuming aspect of the process for oil and gas companies.

"[ThoughtTrace] identifies the most needle moving provisions and obligations and terms that get embedded in these contracts by mineral owners," Yockey says. "It's a real source of leverage for the oil and gas companies. You can feed ThoughtTrace the PDF of the lease and their software will show you were these provisions are buried."

The origin story
Landdox was founded in 2015, and is backed by a small group of angel investors. Yockey says the investors provided a "little backing," and added that Landdox is a "very capital-efficient" software company.

Landdox and ThoughtTrace connected in 2017, when the companies were working with a large, private oil and gas company in Austin. The Austin-based oil and gas company opted to use Landdox and ThoughtTrace in parallel, which inspired the two companies to develop an integrated prototype.

"We built a prototype, but it was clear that there was a bigger opportunity to make this even easier," Yockey says. "To quote the CEO of ThoughtTrace, he called [the integration] an 'easy button.'"

The future of ERP software
Landdox's average customer is a private equity-backed E&P or mineral fund, Yockey says, thought the company also works with closely held, family-owned companies. Recently, though, Landdox has been adding a new kind of company to its client base.

"What's interesting is we're starting to add a new customer persona," Yockey says. "The bigger companies – the publicly traded oil and gas companies –have all kinds of different ERP (Enterprise Resource Planning) software running their business, but leave a lot to be desired in terms of what their team really needs."

At a recent North American Prospect Expo summit, Yockey says that half a dozen large capitalization oil and gas producers invited Landdox to their offices, to discuss potentially supplementing the company's ERP software.

"Instead of trying to be all things to all people, we stay in our lane, but find cool ways to connect with other software (companies)," Yockey says.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

Houston researchers develop material to boost AI speed and cut energy use

ai research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

Top Topics

Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

View All Listings