US 11,379,735 B2Granted

System and method for automated document generation

AssigneeLegislate Technologies Limited

InventorCharles Brecque

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Abstract

A semantic document generation system is described. The semantic document is composed of document details, people and meta-data. The semantic document is self-aware of the information it contains. The semantic document's structure and terms are governed by legal, logical and party related rules. A semantic contract can be created from a semantic document generation system. The semantic document generation system receives an indication of a type of a document to be generated and plurality of terms for the document from a plurality of sources. The terms are converted into triples. A plurality of rules governing the terms of the document is applied to the triples to generate a knowledge graph and determine whether terms from the different parties are compatible. The terms are determined to be compatible in a case where the plurality of rules governing terms of the document is satisfied. If at least one set of terms is non-compatible, the system reconciles the non-compatible terms in the generated knowledge graph until all the terms are compatible, and generates the document based at least on the reconciled knowledge graph.

Claims13

Dependent claims

A document generation system comprising:

at least one memory configured to a store a program;
and
at least one processor communicatively connected to the at least one memory and configured to execute the stored program to:
receive an indication of a type of a document to be generated, the type of the document defining a plurality of rules governing terms of the document;
receive a plurality of terms from a plurality of sources including at least a first set of terms of the document from a first source and a second set of terms of the document from a second source, wherein the first source is different from the second source;
convert the first set of terms into a first plurality of triples;
convert the second set of terms into a second plurality of triples;
apply the plurality of rules governing the terms of the document to the first plurality of triples and the second plurality of triples to generate a knowledge graph and determine whether the first set of terms is compatible with the second set of terms, wherein the first set of terms is determined to be compatible with the second set of terms in a case where the plurality of rules governing terms of the document is satisfied;
generate a reconciled knowledge graph by, in a case where at least one or more first terms of the first set of terms is non-compatible with one or more second terms of the second set of terms, reconciling at least one of the one or more first terms or the one or more second terms that are non-compatible in the generated knowledge graph until the first set of terms is compatible with the second set of terms;
and
generate the document based at least on the reconciled knowledge graph.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/368,020Filed 6 Jul 2021 · continuation
Priority: 9 Jun 2020
Published: US 2021/0383247 A19 Dec 2021
Granted: 5 Jul 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification32 codes

G06N 5/02
Computing arrangements using knowledge-based models: knowledge representation; Symbolic representation
G06F 16/9024
Indexing; Data structures therefor; Storage structures: graphs; Linked lists
G06F 16/93
Details of database functions independent of the retrieved data types: document management systems
G06F 40/123
Use of codes for handling textual entities: storage facilities

Family

Application63/036,729Us provisional application · filed 9 Jun 2020
Application63/119,095Us provisional application · filed 30 Nov 2020
Application17/212,520Parent of this continuation · filed 25 Mar 2021
US 2021/0383247 A1Pre-grant publication · published 9 Dec 2021
US 11,087,219 B1Parent of this continuation
US 11,379,735 B2This patent

From the US filing history. Foreign family members aren’t listed.