List of Thomson Reuters ThoughtTrace AI Customers
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Since 2010, our global team of researchers has been studying Thomson Reuters ThoughtTrace AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Thomson Reuters ThoughtTrace AI for Intelligent Document Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Thomson Reuters ThoughtTrace AI for Intelligent Document Processing include: NextEra Energy, a United States based Utilities organisation with 16800 employees and revenues of $24.75 billion, Marathon Oil, a United States based Oil, Gas and Chemicals organisation with 1681 employees and revenues of $6.41 billion and many others.
Contact us if you need a completed and verified list of companies using Thomson Reuters ThoughtTrace AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Thomson Reuters ThoughtTrace AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Marathon Oil | Oil, Gas and Chemicals | 1681 | $6.4B | United States | Thomson Reuters | Thomson Reuters ThoughtTrace AI | Intelligent Document Processing | 2015 | n/a | In 2015 Marathon Oil implemented Thomson Reuters ThoughtTrace AI as part of an Intelligent Document Processing initiative integrated into its Lagniappe central data consumption platform for land documentation. The deployment positioned Thomson Reuters ThoughtTrace AI to provide document intelligence and extraction capabilities within Marathon Oil's land and accounting business functions. Implementation scope centered on document ingestion, search, and automated extraction workflows. Key functional modules implemented included self-service document management with categorization and bulk load extraction for acquisitions and divestitures, full-text document search and indexing, automated form generation and barcoding for Business Associate, DO Packet, and Production Sharing Agreement forms, and persona based dashboards for users, team leads, and managers to track and balance workloads across the land organization. The solution architecture integrated ThoughtTrace document intelligence with a broader application fabric, linking Lagniappe to Quorum Land QLS QDO E-Suite, SAP PRA, OpenText, and Enverus EnergyLink Owner Relations Portal. Data flows were explicit, for example owner self-service address and ACH changes from Enverus routing into Quorum E-Suite, suspended funds management in SAP PRA, and searchable document text surfaced across platforms through ThoughtTrace indexing and extraction. Operational governance was implemented through workflow orchestration embedded in Lagniappe, including a shared land and accounting new well setup workflow to improve master data accuracy, a Division Order mail task processing workflow that guides and tracks users through prescribed steps ensuring accountability and visibility, and automated returned form processing driven by barcode tracking. The implementation emphasized role based access and process transparency across land acquisition, divestiture, and owner relations teams. Outcomes explicitly recorded by Marathon Oil include estimated staff efficiency savings of 16,800 hours per year and a design intent to reduce regulatory exposure, inaccurate payments, and audit exception risks. The program also included technical lead work to automate extraction and conversion utilities for P2 Tobin Land Suite and My Quorum Land during basin acquisitions, supporting data migration and loading for Permian Anadarko and Eagle Ford basin transactions totaling over 5.7 billion dollars. | |
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NextEra Energy | Utilities | 16800 | $24.8B | United States | Thomson Reuters | Thomson Reuters ThoughtTrace AI | Intelligent Document Processing | 2019 | n/a | In 2019, NextEra Energy implemented Thomson Reuters ThoughtTrace AI as an Intelligent Document Processing solution focused on land and lease documentation. The deployment targeted land management and lease analysis workflows that support Oil and Gas reserves reporting, acquisitions and divestitures, and monthly executive and SEC filing processes covering over one million acres of prospect land information. The implementation configured Thomson Reuters ThoughtTrace AI to perform document ingestion, classification, and natural language processing driven entity extraction of provisional data from leases and contracts. Extracted fields were mapped to existing land data schemas to enable automated indexing and downstream data loading, and the system was applied across the full set of current land documents to standardize interpretation of lease and contract provisions. Operational integration included connections into the land systems and content repositories in use, with explicit data conversion work led for Excalibur to Quorum and DocVue to Documentum as part of broader land system data consolidation. The rollout supported operational workflows in land, reserves, and special projects teams, and the solution was used alongside Quorum, Excalibur, P2 Workflow, and Microsoft Office tools for day to day analysis and reporting. Governance and process changes were driven by a team based work dynamic using Six Sigma methodologies, with Business Analyst and Lease Analyst subject matter experts providing training and operational ownership. Thomson Reuters ThoughtTrace AI was positioned as the core Intelligent Document Processing engine for lease and contract extraction, and the implementation explicitly produced increased efficiency and accuracy in data interpretation within NextEra Energy's land data processes. |
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