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Zug, Switzerland

Thomson Reuters Enterprise Centre Gmbh

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USPTO Granted Patents = 96

% Expired Patents = 1.0

CIPO Patents = 10

EPO Patents = 13

Forward Citations = 136

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180 inventors (with patents filed for the assignee):

Hella-Franziska Hoffmann (11 out of 13 patents)

Jeff Arvidson (10 out of 10 patents)

Nicholas Bieter (9 out of 9 patents)

4. Brittany Shada (9 out of 9 patents)

5. Chris Moellering (9 out of 9 patents)

6. Doug Wozniak (9 out of 9 patents)

7. Johannes Schleith (7 out of 8 patents)

8. David Von Rickenbach (6 out of 7 patents)

9. Elizabeth Roman (6 out of 6 patents)

10. Blake Howald (5 out of 12 patents)

11. Sameena Shah (5 out of 35 patents)

12. Armineh Nourbakhsh (5 out of 15 patents)

13. Nicholas E Vandivere (5 out of 8 patents)

14. Jack G Conrad (5 out of 14 patents)

15. Nikolai Nefedov (5 out of 5 patents)

Core Competencies:

Natural Language Processing

Document Analysis

Legal Research

Tax Compliance

Ontology Generation

Event Detection

Graphical User Interface

Anomaly Detection

Data Classification

Curriculum Learning

Semantic Similarity

Information Extraction

96 patents: Sort by Forward Citations

1. 12737399 - System and methods for prospective legal research (2026-09-15),

2. 12705420 - Systems and methods for deviation detection, information extraction and obligation deviation detection (2026-08-11),

3. 12705289 - System and method for finding similar documents based on semantic factual similarity (2026-08-11),

4. 12626058 - Systems and methods for structure and header extraction (2026-05-12),

5. 12619665 - Systems and methods for analyzing media feeds (2026-05-05),

6. 12613921 - Hierarchical clustering on graphs for taxonomy extraction and applications thereof (2026-04-28),

7. 12613901 - Systems and methods for generating graphical views (2026-04-28),

8. 12579478 - Generating and modifying ontologies for machine learning models (2026-03-17),

9. 12547642 - Systems and methods for dynamic cross-contextual implementation (2026-02-10),

10. 12499702 - System and method for unsupervised document ontology generation of corpus of documents and partitioning the documents based on partitioning parameter (2025-12-16),

11. 12488260 - Systems and methods for active curriculum learning (2025-12-02),

12. 12443596 - Systems and methods for generating a contextually and conversationally correct response to a query (2025-10-14),

13. 12423601 - Systems and methods for analysis explainability (2025-09-23),

14. 12400021 - Systems and methods for processing digital evidence (2025-08-26),

15. D1089279 - Display screen or portion thereof with graphical user interface (2025-08-19),

Company Overview

Thomson Reuters Enterprise Centre GmbH, based in Zug, Switzerland, specializes in advanced technologies focused on Natural Language Processing (NLP). The company develops solutions that enhance document analysis, streamline legal research, and ensure tax compliance. Its expertise extends to ontology generation, event detection, and anomaly detection, providing robust tools for various industries. With a commitment to innovation, the organization aims to improve user experiences through effective graphical user interfaces and intelligent data processing.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

96 Patents

#11 in Zug

#169 in Switzerland

#8,068 in the World

Zug, Switzerland

Thomson Reuters Enterprise Centre Gmbh

Forward Citations = 136

180 inventors:

Hella-Franziska Hoffmann (11 out of 13 patents)

Jeff Arvidson (10 out of 10 patents)

Nicholas Bieter (9 out of 9 patents)

4. Brittany Shada (9 out of 9 patents)

5. Chris Moellering (9 out of 9 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Thomson Reuters Enterprise Centre Gmbh. Retrieved from https://idiyas.com/company/thomson-reuters-enterprise-centre

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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