New York, NY, United States
New York, NY, United States

Thomson Reuters Corporation is a major multinational mass media and information firm founded in Toronto and based in New York City and Toronto. It was created by the Thomson Corporation's purchase of British-based Reuters Group on 17 April 2008, and today is majority owned by The Woodbridge Company, a holding company for the Thomson family. The company operates in more than 100 countries, and has more than 60,000 employees around the world. Thomson Reuters was ranked as Canada's "leading corporate brand" in the 2010 Interbrand Best Canadian Brands ranking. Thomson Reuters' operational headquarters are located at 3 Times Square, Manhattan, New York City; its legal domicile is located at 333 Bay Street, Suite 400, Toronto, Ontario M5H 2R2, Canada. Wikipedia.


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Patent
Thomson Reuters | Date: 2016-11-18

A computer implemented method of processing data containing information about relationships between contacts and a community of contact owners is provided, which includes the steps of: collecting data having contact information, contact owner information and one or more values related to the strength of a relationship between the contact and the contact owner; evaluating the strength of the relationship based on the one or more values; and storing the collected data and evaluated strength in a computer database.


Patent
Thomson Reuters | Date: 2016-07-15

A method includes receiving a corpus comprising a set of pre-segmented texts. The method further includes creating a plurality of modified pre-segmented texts for the set of pre-segmented texts by extracting a set of semantic terms for each pre-segmented text within the set of pre-segmented texts and applying at least one domain tag for each pre-segmented text within the set of pre-segmented texts. The method further includes clustering the plurality of modified pre-segmented texts into one or more conceptual units, wherein each of the one or more conceptual units is associated with one or more templates, wherein each of the one or more templates corresponds to one of the plurality of modified pre-segmented texts.


Patent
Thomson Reuters | Date: 2016-07-11

A Global Supply Chain Intelligence system (GSCF) configured as a supply chain intelligence search engine adapted to predict, discover and verify commodity trade flows. Creating and maintaining a dataset that tracks real and near real-time commodity flows as they happen as an input to the GSCI. The dataset used in a business intelligence process within the GSCI to arrive at an output, such as a predicted price behavior, a price alert, a risk alert, etc. A Commodity Flow Intelligence (CFI) component that collects and analyzes information with the timeliness, detail and accuracy required to track, forecast and predict supply and demand imbalances at the discrete flow level to aid market participants in making operational trading and investment decisions, for example, in connection with a financial services system or offering providing enhanced data and tools to promote market transparency.


Patent
Thomson Reuters | Date: 2016-06-03

The present invention provides an improved docket search and analytics engine for determining the outcome of a case for a particular entity or party, for predicting the outcome of a case for a particular entity or party, or for predicting the time to resolution of a case for a particular entity or party. More specifically, the present invention provides a system and engine for accessing and retrieving docket and other data from a plurality of databases and applying by one or more engines a set of models to the retrieved data to make a determination or prediction as to the outcome of a case for an entity or party involved in the case.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-18-2016 | Award Amount: 3.99M | Year: 2017

The SPECIAL project will address the contradiction between Big Data innovation and privacy-aware data protection by proposing a technical solution that makes both of these goals realistic. We will develop technology that: (i) supports the acquisition of user consent at collection time and the recording of both data and metadata (consent, policies, event data, context) according to legislative and user-specified policies; (ii) caters for privacy-aware, secure workflows that include usage/access control, transparency and compliance verification; (iii) demonstrates robustness in terms of performance, scalability and security all of which are necessary to support privacy preserving innovation in Big Data environments; and (iv) provides a dashboard with feedback and control features that make privacy in Big Data comprehensible and manageable for data subjects, controllers, and processors. SPECIAL shall allow citizens and organisations to share more data, while guaranteeing data protection compliance, thus enabling both trust and the creation of valuable new insights from shared data. Our vision will be realised and validated via real world use cases that - in order to be viable - need to overcome current challenges concerning the processing and sharing of data in a privacy preserving manner. In order to realise this vision, we will combine and significantly extend big data architectures to handle Linked Data, harness them with sticky policies as well as scalable queryable encryption, and develop advanced user interaction and control features: SPECIAL will build on top of the Big Data Europe and PrimeLife Projects, exploit their results, and further advance the state of the art of privacy enhancing technologies.


Disclosed is a system and method for processing code orders that specify orders to be processed on an electronic trading venue (ETV) based on computer code referenced by or included with the code orders. Market participants may define, associate and submit executable code with each order message they send to the ETV. Upon receipt of a code order, and before that message itself is processed by the ETV against the instruments limit order book, the ETV may evaluate all of the code associated with active code orders in that limit order book and process any resulting orders. Responsive to the completion of this evaluation, the ETV may update the state of the limit order book to reflect the new prices and quantities of them. Responsive to the completion of the update, the ETV may process the new message, which triggered evaluation of the code orders against the limit order book.


Patent
Thomson Reuters | Date: 2016-06-13

The present invention relates to a computer-based system for generating a risk register relating to a named entity. The system comprises a computing device, a risk database accessible by the computing device and having stored therein a set of risk types based on an induced taxonomy of risk types previously derived at least in part upon operation of a machine learning module, an input adapted to receive a set of source data, the set of source data being in electronic form and representing textual content comprising potential risk phrases, a entity-risk relation classifier adapted to identify and extract entity-risk relations from the set of source data, a risk tagger adapted to identify in the set of source data a set of risk candidates (r_(i)) based on the set of risk types, a entity tagger adapted to identify mentions of entity names (c_(i)) in the set of source data, and a risk register aggregator adapted to generate a first risk register based on the set of tuples associated with a first entity.


Patent
Thomson Reuters | Date: 2016-03-22

Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.


A computer-based system connected to a remote user device and a plurality of services. A data collection engine having an input adapted to receive a set of collection data from a set of services, the set of collection data comprising a set of brand data for comparison against a control set of data stored in a database and having a set of fields and via the digital communications network a query. An entity identification module identifies and extracts within the set of collection data a set of entity data, compares the set of entity data against a set of entity control data to resolve entity identification, associates an entity identifier with the identified entity, and determines a set of relationship data between entities; a matching module adapted to receive data derived from the set of collection data and compare the received data against a set of known brand data and generate a set of comparison data and an output indicating a presence of a match; a scoring module adapted to generate a set of score data based on the set of comparison data. A graphic user interface presents a graphic representation of the set of scored data on a display device.


The present inventors devised systems, methods, interfaces, and software that can facilitate identification of law firms and/or legal professionals. One exemplary system receives queries from users regarding a legal topic and responds with a listing of attorneys or law firms that are associated with information ranking them based on their experience in handling matters related to the legal topic. The ranking information is based on links between attorneys and public legal documents, such as judicial opinions, court dockets, briefs, litigation documents, journal articles, patents, trademarks, and so forth that mention them by name.

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