Palantir Technologies Inc.

Christopher Richbourg

Joshua Zavilla

Andrew Elder

Sharon Hao

Alexander Mark

Jack Grossman

Brian H Hamilton

Gregory Martin

Ryan Beiermeister

Paul Ryan

Xinyi Wang

Ryan Xie

Marc Frankel

Bradley Engel

David Cohen

Joel Ossher

Timothy Yousaf

Kevin Zhang

Daniel Lidor

John McKinstry Doyle

Christopher Brahms

James Schweiger

Seth Robinson

Tristan Huber

Daniel Sperling

Mitch Beard

James Lu

Krasimira Kapitanova

Ohsuk Kwon

Michael Stoeckel

Computer-implemented systems and methods are disclosed for automatically generating and displaying a chronology of events, where events may be represented by data objects in one or more databases. Events/data objects may be identified as relevant to an investigation or analysis based on specified criteria. A timeline may be generated based on the identified set of relevant events, and interactive user interfaces may be generated and displayed that present the events as a timeline and a list. Events may be selected from the timeline or the list, may be identified as key events in the chronology, and additional events related to a selected event may be determined and added to the chronology. Timelines may be compared to other data sets, including other timelines, other event lists, and other relevant data.

Systems and interactive user interfaces for automatic generation of temporal representation of data objects

Systems, methods, and non-transitory computer readable media are provided for managing data spills. A classified document may be identified. The classified document may be associated with a document classification marking and one or more portion classification markings. Whether the classified document is misclassified may be determined based on a mismatch between the document classification marking and at least one of the one or more portion classification markings. Responsive to determining that the classified document is misclassified, one or more operations may be performed on the classified document.

Systems and methods for managing data spills

Implementations for searching and analyzing large, object-oriented data sets in an efficient manner involving innovative user interface features and/or search algorithm functionality are disclosed. In one exemplary embodiment, a system may search for information and/or relationships based on specified search criteria and return results that may be displayed dynamically and further filtered or analyzed. Systems may involve object oriented database(s) and a software layer including a specialized user interface between the user and the database(s). The user interface may comprise various tools as well as predefined and configurable features that enable effective search of the data as well as display of search results that are configurable and readily managed to provide immediate and useful search results. The user interface may display the search results and various associated graphical representations and models, and/or provide tools enabling dynamic manipulation and display of search results or underlying object models, among other things.

Systems, methods, user interfaces and algorithms for performing database analysis and search of information involving structured and/or semi-structured data

Systems and methods are provided for protected search. A search query to be performed using at least one data store is received from a computing device of a user. The user is not authorized to access the at least one data store. One or more search results that are responsive to the search query from the at least one data store are determined. The one or more search results are aggregated based on one or more categories. At least a subset of the aggregated search results is provided to the computing device of the user.

Protected search

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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Arlington, VA, United States of America

Christopher Richbourg