Palantir Technologies Inc.

Seth Robinson

Ashley Einspahr

Matthew Elkherj

Sharon Hao

Mitchell Beard

Ryan Beiermeister

William Ayers

Chris Hammett

Breanna Bunge

Seelig Sinton

Erika Crawford Tom

John McKinstry Doyle

Christopher Richbourg

Christopher Brahms

Tristan Huber

Mitch Beard

Ohsuk Kwon

Michael Stoeckel

Krasimira Kapitanova

Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity). For each of the search results, a score can be determined taking as input (a) likelihood of match between the seed entity and the hit entity or between a seed-linked entity and a hit-linked entity, (b) presence of a new entity in the search result not present in the search queries or a difference between the new entity and an entity present in the search queries, and (c) characteristic of the new entity in the search result. Based on the scores, high priority search results can be presented a user for further analysis.

Automated assistance for generating relevant and valuable search results for an entity of interest

Computer implemented systems and methods are disclosed for structuring data from unstructured electronic data files. In accordance with some embodiments, an electronic data file including unstructured content associated with a legal process return is received and the unstructured content parsed. The unstructured content is parsed to identify one or more objects and properties based on a database ontology that are processed to generate an object model. A data report may be generated based on the identified objects and properties.

Systems and methods for structuring data from unstructured electronic data files

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Brooklyn, NY, United States of America

Seth Robinson