公开(公告)号：US12130855B2

公开(公告)日：2024-10-29

申请号：US17835384

申请日：2022-06-08

申请人： InCloud, LLC

发明人： Mitchell Spierer ,  Hadayatullah Seddiqi ,  Charles Chi ,  Alastair Doggett ,  Roopeswar Kommalapati

IPC分类号： G06F16/383 ,  G06F40/166

CPC分类号： G06F16/383 ,  G06F40/166

摘要： In some aspects described herein, a computer-based system that is capable of constructing digital documents is provided. In some implementations, a machine learning system is provided that learns certain terms within a document. The terms may be, for example, part of a document that forms a legally-binding contract between two entities. In one implementation of the machine learning system, the machine learning system interoperates within a user interface to show predictions of certain terms within the document to the user. Further, the machine learning system may capture user answers relating to certain terms and provide feedback into the system that learns during operation of the system, improving user interactions, accuracy and reducing the number of user interactions.

公开(公告)号：US20220391576A1

公开(公告)日：2022-12-08

申请号：US17835412

申请日：2022-06-08

申请人： InCloud, LLC

发明人： Mitchell Spierer ,  Hadayatullah Seddiqi ,  Charles Chi ,  Alastair Doggett ,  Roopeswar Kommalapati

IPC分类号： G06F40/166 ,  G06N20/00

摘要： In some aspects described herein, a computer-based system that is capable of constructing digital documents is provided. In some implementations, a machine learning system is provided that learns certain terms within a document. The terms may be, for example, part of a document that forms a legally-binding contract between two entities. In one implementation of the machine learning system, the machine learning system interoperates within a user interface to show predictions of certain terms within the document to the user. Further, the machine learning system may capture user answers relating to certain terms and provide feedback into the system that learns during operation of the system, improving user interactions, accuracy and reducing the number of user interactions.

公开(公告)号：US12079566B2

公开(公告)日：2024-09-03

申请号：US17835412

申请日：2022-06-08

申请人： InCloud, LLC

发明人： Mitchell Spierer ,  Hadayatullah Seddiqi ,  Charles Chi ,  Alastair Doggett ,  Roopeswar Kommalapati

IPC分类号： G06F40/263 ,  G06F40/166 ,  G06N20/00

CPC分类号： G06F40/166 ,  G06F40/263 ,  G06N20/00

摘要： In some aspects described herein, a computer-based system that is capable of constructing digital documents is provided. In some implementations, a machine learning system is provided that learns certain terms within a document. The terms may be, for example, part of a document that forms a legally-binding contract between two entities. In one implementation of the machine learning system, the machine learning system interoperates within a user interface to show predictions of certain terms within the document to the user. Further, the machine learning system may capture user answers relating to certain terms and provide feedback into the system that learns during operation of the system, improving user interactions, accuracy and reducing the number of user interactions.

公开(公告)号：US20220391429A1

公开(公告)日：2022-12-08

申请号：US17835384

申请日：2022-06-08

申请人： InCloud, LLC

发明人： Mitchell Spierer ,  Hadayatullah Seddiqi ,  Charles Chi ,  Alastair Doggett ,  Roopeswar Kommalapati

IPC分类号： G06F16/383 ,  G06F40/166

摘要： In some aspects described herein, a computer-based system that is capable of constructing digital documents is provided. In some implementations, a machine learning system is provided that learns certain terms within a document. The terms may be, for example, part of a document that forms a legally-binding contract between two entities. In one implementation of the machine learning system, the machine learning system interoperates within a user interface to show predictions of certain terms within the document to the user. Further, the machine learning system may capture user answers relating to certain terms and provide feedback into the system that learns during operation of the system, improving user interactions, accuracy and reducing the number of user interactions.