Interface and tool for configuring a contract workflow
A method includes updating, in a server, a workflow in a contract based on an action by a remote user. The method also includes storing an updated version of the contract in a directory, and providing, to an approver remotely coupled with the server, a link to the updated version. Updating the workflow includes at least one of: selecting a governing law or any other type of field or constraint controlling the updated version of the contract, —adding a conditional variable to the contract, the conditional variable configured to acquire a value based on an input from the remote user, or the approver, adding or removing a portion of the contract based on a value of the conditional variable in the contract, and modifying a role for the approver. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also disclosed.
1. A computer-implemented method, comprising:
training a machine learning algorithm for semantic and syntactical interpretation of a text and for correlating a text with a legal code to ensure that the text is consistent and complies with certain aspects of the legal code;
causing, by a contract platform executing on a server, a first dashboard to be displayed on a first computing device, wherein the dashboard comprises a first tab, of a plurality of tabs, indicating a plurality of documents, each document having an associated workflow and status displayed via the first dashboard;
in response to receiving a selection to begin a new workflow, generating, by the contract platform, a first document;
receiving, via a second dashboard and from the first computing device, one or more inputs related to the first document, wherein a first input of the one or more inputs comprises identifying a field configured to acquire a value from one or more of a user having access to the first document, a signer of the first document, or an approver of the first document;
adding, by the first computing device and via the second dashboard, a conditional clause to the first document, wherein the conditional clause is predicated on the value of the field;
receiving a second input indicating the value of the field;
based on receiving the second input, generating an updated version of the first document that includes the conditional clause and the value for the field;
providing a link to the updated version of the first document to a second computing device associated with a signer of the first document and a third computing device associated with a countersigner of the first document;
receiving a first signature from the signer of the document, wherein the first signature comprises a first certificate associated with the signer; and
receiving a second signature from the countersigner of the first document, wherein the second signature comprises a second certificate associated with the countersigner;
performing, using the machine learning algorithm, an error search on the first document; and
generating, based on a determination that the first document does not contain any errors, a signed copy of the updated version of the first document.
2. The computer-implemented method of claim 1 , wherein the identifying the field comprises creating a new field for the first document.
3. The computer-implemented method of claim 1 , wherein the adding a conditional clause to the first document is based on a Boolean combination comprising multiple values and ranges of the field.
4. The computer-implemented method of claim 1 , wherein generating an updated version of the first document further comprises removing a portion of the first document based on the value.
5. The computer-implemented method of claim 1 , further comprising defining a plurality of pre-selected values for the field.
6. The computer-implemented method of claim 1 , further comprising: causing, by the contract platform, the signed copy of the first document to be displayed via a second tab of the first dashboard.
7. The computer-implemented method of claim 1 , wherein generating the first document further comprises receiving a selection of a draft template for the new workflow.
8. The computer-implemented method of claim 1 , wherein third-party computing devices are restricted from accessing the signed copy of the first document.
9. A server comprising:
one or more processors; and
memory storing instructions that, when executed by the one or more processors, cause the server to:
train a machine learning algorithm for semantic and syntactical interpretation of a text and for correlating a text with a legal code to ensure that the text is consistent and complies with certain aspects of the legal code;
cause, by a contract platform executing on the server, a first dashboard to be displayed on a first computing device, wherein the dashboard comprises a first tab, of a plurality of tabs, indicating a plurality of documents, each document having an associated workflow and status displayed via the first dashboard;
in response to receiving a selection to begin a new workflow, generate, by the contract platform, a first document;
receive, via a second dashboard and from the first computing device, one or more inputs related to the first document, wherein a first input of the one or more inputs comprises identifying a field configured to acquire a value from one or more of a user having access to the first document, a signer of the first document, or an approver of the first document;
add, by the first computing device and via the second dashboard, a conditional clause to the first document, wherein the conditional clause is predicated on the value of the field;
receive a second input indicating the value of the field;
based on receiving the second input, generate an updated version of the first document that includes the conditional clause and the value for the field;
provide a link to the updated version of the first document to a second computing device associated with a signer of the first document and a third computing device associated with a countersigner of the first document;
receive a first signature from the signer of the document, wherein the first signature comprises a first certificate associated with the signer; and
receive a second signature from the countersigner of the first document, wherein the second signature comprises a second certificate associated with the countersigner;
perform, using the machine learning algorithm, an error search on the first document; and
generate, based on a determination that the first document does not contain any errors, a signed copy of the updated version of the first document.
10. The server of claim 9 , wherein the instructions, when executed by the one or more processors, cause the server to identify the field by creating a new field for the first document.
11. The server of claim 9 , wherein the instructions, when executed by the one or more processors, cause the server to add a conditional clause to the first document based on a Boolean combination comprising multiple values and ranges of the field.
12. The server of claim 9 , wherein the instructions, when executed by the one or more processors, cause the server to generate an updated version of the first document by removing a portion of the first document based on the value.
13. The server of claim 9 , wherein the instructions, when executed by the one or more processors, cause the server to define a plurality of pre-selected values for the field.
14. The server of claim 9 , wherein the instructions, when executed by the one or more processors, cause the server to cause the signed copy of the first document to be displayed via a second tab of the first dashboard.
15. The server of claim 9 , wherein the instructions, when executed by the one or more processors, cause the server to generate the first document in response to receiving a selection of a draft template for the new workflow.
16. The server of claim 9 , wherein third-party computing devices are restricted from accessing the signed copy of the first document.
17. A non-transitory computer-readable medium storing instructions that, when executed, cause a server to:
train a machine learning algorithm for semantic and syntactical interpretation of a text and for correlating a text with a legal code to ensure that the text is consistent and complies with certain aspects of the legal code;
cause, by a contract platform executing on the server, a first dashboard to be displayed on a first computing device, wherein the dashboard comprises a first tab, of a plurality of tabs, indicating a plurality of documents, each document having an associated workflow and status displayed via the first dashboard;
in response to receiving a selection to begin a new workflow, generate, by the contract platform, a first document;
receive, via a second dashboard and from the first computing device, one or more inputs related to the first document, wherein a first input of the one or more inputs comprises identifying a field configured to acquire a value from one or more of a user having access to the first document, a signer of the first document, or an approver of the first document;
add, by the first computing device and via the second dashboard, a conditional clause to the first document, wherein the conditional clause is predicated on the value of the field;
receive a second input indicating the value of the field;
based on receiving the second input, generate an updated version of the first document that includes the conditional clause and the value for the field;
provide a link to the updated version of the first document to a second computing device associated with a signer of the first document and a third computing device associated with a countersigner of the first document;
receive a first signature from the signer of the document, wherein the first signature comprises a first certificate associated with the signer; and
receive a second signature from the countersigner of the first document, wherein the second signature comprises a second certificate associated with the countersigner;
perform, using the machine learning algorithm, an error search on the first document; and
generate, based on a determination that the first document does not contain any errors, a signed copy of the updated version of the first document.
18. The non-transitory computer-readable medium of claim 17 , wherein the instructions, when executed, cause the server to identify the field by creating a new field for the first document.
19. The non-transitory computer-readable medium of claim 17 , wherein the instructions, when executed, cause the server to add a conditional clause to the first document based on a Boolean combination comprising multiple values and ranges of the field.
20. The non-transitory computer-readable medium of claim 17 , wherein the instructions, when executed, cause the server to generate an updated version of the first document by removing a portion of the first document based on the value.
21. The non-transitory computer-readable medium of claim 17 , wherein the instructions, when executed, cause the server to define a plurality of pre-selected values for the field.
22. The non-transitory computer-readable medium of claim 17 , wherein the instructions, when executed, cause the server to cause the signed copy of the first document to be displayed via a second tab of the first dashboard.
23. The non-transitory computer-readable medium of claim 17 , wherein the instructions, when executed, cause the server to generate the first document in response to receiving a selection of a draft template for the new workflow.
24. The non-transitory computer-readable medium of claim 17 , wherein third-party computing devices are restricted from accessing the signed copy of the first document.