Abstract: A method includes generating, by one or more processors, a first graphical interface. The first graphical interface includes a card-based view with each card in the card-based view corresponding to a field of analysis from a plurality of fields of analysis. The method also includes transmitting, to a client device, the representation of the first graphical interface; receiving, from the client device, a selection of a particular card of the card-based view; and, based on the received selection, generating a representation of a second graphical interface that includes a detailed view of output data associated with a field of analysis that corresponds to the particular card. The method further includes transmitting, to the client device, the representation of the second graphical interface.

Abstract: Computer implemented systems and methods are disclosed for extracting specific data using machine learning algorithms. In accordance with some embodiments, a memory device that stores at least a set of computer executable instructions for a machine learning algorithm and a pre-fill engine; and at least one processor that executes the instructions that cause the pre-fill engine to perform functions that include: receiving electronic documents, seed dataset documents, and pre-fill questions; determining output data that enable navigation through the electronic documents using the machine learning algorithm; determining output questions that enable navigation through the electronic documents using the machine learning algorithm; determining output documents to enable navigation through the electronic documents using the machine learning algorithm; and presenting one or more answers for one or more of the output questions using a graphical user interface.

Abstract: A method includes generating, by one or more processors, a first graphical interface. The first graphical interface includes a card-based view with each card in the card-based view corresponding to a field of analysis from a plurality of fields of analysis. The method also includes transmitting, to a client device, the representation of the first graphical interface; receiving, from the client device, a selection of a particular card of the card-based view; and, based on the received selection, generating a representation of a second graphical interface that includes a detailed view of output data associated with a field of analysis that corresponds to the particular card. The method further includes transmitting, to the client device, the representation of the second graphical interface.

Abstract: A method includes generating, by one or more processors, a first graphical interface. The first graphical interface includes a card-based view with each card in the card-based view corresponding to a field of analysis from a plurality of fields of analysis. The method also includes transmitting, to a client device, the representation of the first graphical interface; receiving, from the client device, a selection of a particular card of the card-based view; and, based on the received selection, generating a representation of a second graphical interface that includes a detailed view of output data associated with a field of analysis that corresponds to the particular card. The method further includes transmitting, to the client device, the representation of the second graphical interface.

Abstract: Computer implemented systems and methods are disclosed for extracting specific data using machine learning algorithms. In accordance with some embodiments, a memory device that stores at least a set of computer executable instructions for a machine learning algorithm and a pre-fill engine; and at least one processor that executes the instructions that cause the pre-fill engine to perform functions that include: receiving electronic documents, seed dataset documents, and pre-fill questions; determining output data that enable navigation through the electronic documents using the machine learning algorithm; determining output questions that enable navigation through the electronic documents using the machine learning algorithm; determining output documents to enable navigation through the electronic documents using the machine learning algorithm; and presenting one or more answers for one or more of the output questions using a graphical user interface.

Abstract: Computer implemented systems and methods are disclosed for extracting specific data using machine learning algorithms. In accordance with some embodiments, a memory device that stores at least a set of computer executable instructions for a machine learning algorithm and a pre-fill engine; and at least one processor that executes the instructions that cause the pre-fill engine to perform functions that include: receiving electronic documents, seed dataset documents, and pre-fill questions; determining output data that enable navigation through the electronic documents using the machine learning algorithm; determining output questions that enable navigation through the electronic documents using the machine learning algorithm; determining output documents to enable navigation through the electronic documents using the machine learning algorithm; and presenting one or more answers for one or more of the output questions using a graphical user interface.

Abstract: Computer implemented systems and methods are disclosed for extracting specific data using machine learning algorithms. In accordance with some embodiments, a memory device that stores at least a set of computer executable instructions for a machine learning algorithm and a pre-fill engine; and at least one processor that executes the instructions that cause the pre-fill engine to perform functions that include: receiving electronic documents, seed dataset documents, and pre-fill questions; determining output data that enable navigation through the electronic documents using the machine learning algorithm; determining output questions that enable navigation through the electronic documents using the machine learning algorithm; determining output documents to enable navigation through the electronic documents using the machine learning algorithm; and presenting one or more answers for one or more of the output questions using a graphical user interface.

Abstract: A method includes generating, by one or more processors, a first graphical interface. The first graphical interface includes a card-based view with each card in the card-based view corresponding to a field of analysis from a plurality of fields of analysis. The method also includes transmitting, to a client device, the representation of the first graphical interface; receiving, from the client device, a selection of a particular card of the card-based view; and, based on the received selection, generating a representation of a second graphical interface that includes a detailed view of output data associated with a field of analysis that corresponds to the particular card. The method further includes transmitting, to the client device, the representation of the second graphical interface.