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ThoughtTrace (acquired by Thomson Reuters)
Darcy Presenter

Software company using Artificial Intelligence (AI) and machine learning to streamline categorization, review, and analysis of contracts and agreements.

Published August 8, 2020 • Updated October 25, 2024
Oil & Gas
Power & Utilities
Asset Management & Digitization
Insights
Details
Materials

Product Overview

Overview

ThoughtTrace (formerly Agile Upsteam and recently acquired by Thomson Reuters) provides a software platform which intelligent search and contextual recognition to unstructured documents in a variety of applications.

The product emphasizes solving business specific problems by leveraging deep domain knowledge, which is embedded into the product and a shared learning framework which allows for continuous improvement of the product without compromising confidentiality.

The product can be broken into three (3) main components:

  • Provision Insights: the solution uses ML to increase the visibility and accuracy around unstructured text document analysis. It automatically ingests and tags over 250 critical provisions and data elements - for example - right of way agreements, title opinions, joint operating agreements, etc...
  • Document Insights: in addition to the granular analysis of unstructured documents, the platform auto separates and classifies bulk documents. The output of this can then be merged and ingested into the provision insights to provide visibility across assets.
  • Data Insights: the data components of the text documents can be integrated with 3rd party visualization and business intelligence platform to provide the user with a holistic view of the impact of contractual requirements on the business.
Business Model

Software-as-a-Service

Technology Innovations

Deep domain expertise and experience coupled with application specific machine learning tools to quickly and accurately parse unstructured text documents.

Applications

The platform has a variety of applications both in and out of Oil & Gas and Power & Utilities as it is at it's core a tool to improve the speed and accuracy of parsing large and complex legal documents. Some of the most common applications:

  • Business Development: allows the team to screen a larger volume of related legal documents in a fraction of the time and much higher accuracy relative to manual lease reviews.
  • Land Management: faster derisking and better understanding of the potential requirements which may impact either development activity or acquisition.
  • Operational Planning: by being able to integrate contractual nuances into planning decisions, operators are able to optimize their development planning and scheduling.
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Data Management Forum

Jun 11th 2018

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