Similar document identification using artificial intelligence
View Patent ↗Implementations generally relate to processing similar documents. In some implementations, a method includes receiving a plurality of documents related to e-discovery. The method further includes determining a seed document from the plurality of documents. The method further includes receiving a search request to search at least one selection of text in the seed document. The method further includes identifying other documents from the plurality of documents based on a similarity between text in the other documents and the at least one selection of text in the seed document. The method further includes generating a graphical user interface that includes a similarity panel that provides similarity data between text in the other documents and the at least one selection of text in the seed document.
1. A method comprising:
receiving a plurality of documents related to e-discovery;
determining a seed document from the plurality of documents;
receiving a search request to search at least one selection of text in the seed document;
identifying other documents from the plurality of documents based on a similarity between text in the other documents and the at least one selection of text in the seed document; and
generating a graphical user interface that includes a similarity panel that provides similarity data between text in the other documents and the at least one selection of text in the seed document;
wherein the similarity panel provides:
a first number of the other documents having text that is identical to the at least one selection of text in the seed document based on a first predetermined similarity threshold;
a second number of the other documents having text that is similar to the at least one selection of text in the seed document based on a second predetermined similarity threshold; and
an option to search for a subset of the other documents based on a similarity percentage between the at least one selection of text in the seed document and text in the other documents.
2. The method of claim 1 , further comprising:
receiving a similarity request to identify the other documents having text that is similar to the at least one selection of text in the seed document; and
identifying the other documents having text that is similar to the at least one selection of text in the seed document.
3. The method of claim 1 , wherein the identifying of the other documents is based on the similarity between the at least one selection of text in the seed document and text in the other documents which includes using pattern recognition.
4. The method of claim 1 , wherein the graphical user interface includes a list of one or more legal issues to associate with any one or more documents of the plurality of documents.
5. The method of claim 1 , further comprising:
associating one or more legal issues with the seed document;
associating one or more other documents with the one or more legal issues associated with the seed document;
receiving a filter request that includes the one or more legal issues; and
filtering one or more other documents from the plurality of documents based on the filter request.
6. The method of claim 1 , wherein the graphical user interface includes, for each document of the plurality of documents, an option to view each document of the plurality of documents in a native format, a graphical format, a text format, a production format, a translated format, or an original format.
7. The method of claim 1 , further comprising:
enabling a user to redact one or more portions of the seed document; and
automatically redacting one or more corresponding portions of one or more other documents.
8. A non-transitory computer-readable storage medium carrying program instructions thereon, the instructions when executed by one or more processors cause the one or more processors to perform operations comprising:
receiving a plurality of documents related to e-discovery;
determining a seed document from the plurality of documents;
receiving a search request to search at least one selection of text in the seed document;
identifying other documents from the plurality of documents based on a similarity between text in the other documents and the at least one selection of text in the seed document; and
generating a graphical user interface that includes a similarity panel that provides similarity data between text in the other documents and the at least one selection of text in the seed document;
wherein the similarity panel provides:
a first number of the other documents having text that is identical to the at least one selection of text in the seed document based on a first predetermined similarity threshold;
a second number of the other documents having text that is similar to the at least one selection of text in the seed document based on a second predetermined similarity threshold; and
an option to search for a subset of the other documents based on a similarity percentage between the at least one selection of text in the seed document and text in the other documents.
9. The computer-readable storage medium of claim 8 , wherein the instructions when executed further cause the one or more processors to perform operations comprising:
receiving a similarity request to identify the other documents having text that is similar to the at least one selection of text in the seed document; and
identifying the other documents having text that is similar to the at least one selection of text in the seed document.
10. The computer-readable storage medium of claim 8 , wherein the identifying of the other documents is based on the similarity between the at least one selection of text in the seed document and text in the other documents which includes using pattern recognition.
11. The computer-readable storage medium of claim 8 , wherein the graphical user interface includes a list of one or more legal issues to associate with any one or more documents of the plurality of documents.
12. The computer-readable storage medium of claim 8 , wherein the instructions when executed further cause the one or more processors to perform operations comprising:
associating one or more legal issues with the seed document;
receiving a filter request that includes the one or more legal issues; and
filtering one or more other documents from the plurality of documents based on the filter request.
13. The computer-readable storage medium of claim 8 , wherein the graphical user interface includes, for each document of the plurality of documents, an option to view each document of the plurality of documents in a native format, a graphical format, a text format, a production format, a translated format, or an original format.
14. The computer-readable storage medium of claim 8 , wherein the instructions when executed further cause the one or more processors to perform operations comprising:
enabling a user to redact one or more portions of the seed document; and
automatically redacting one or more corresponding portions of one or more other documents.
15. A system comprising:
one or more processors; and
logic encoded in one or more non-transitory computer-readable media for execution by the one or more processors and when executed operable to perform operations comprising:
receiving a plurality of documents related to e-discovery;
determining a seed document from the plurality of documents;
receiving a search request to search at least one selection of text in the seed document;
identifying other documents from the plurality of documents based on a similarity between text in the other documents and the at least one selection of text in the seed document; and
generating a graphical user interface that includes a similarity panel that provides similarity data between text in the other documents and the at least one selection of text in the seed document;
wherein the similarity panel provides:
a first number of the other documents having text that is identical to the at least one selection of text in the seed document based on a first predetermined similarity threshold;
a second number of the other documents having text that is similar to the at least one selection of text in the seed document based on a second predetermined similarity threshold; and
an option to search for a subset of the other documents based on a similarity percentage between the at least one selection of text in the seed document and text in the other documents.
16. The system of claim 15 , wherein the logic when executed is further operable to perform operations comprising:
receiving a similarity request to identify the other documents having text that is similar to the at least one selection of text in the seed document; and
identifying the other documents having text that is similar to the at least one selection of text in the seed document.
17. The system of claim 15 , wherein the identifying of the other documents is based on the similarity between the at least one selection of text in the seed document and text in the other documents which includes using pattern recognition.
18. The system of claim 15 , wherein the graphical user interface includes a list of one or more legal issues to associate with any one or more documents of the plurality of documents.
19. The system of claim 15 , wherein the logic when executed is further operable to perform operations comprising:
associating one or more legal issues with the seed document;
receiving a filter request that includes the one or more legal issues; and
filtering one or more other documents from the plurality of documents based on the filter request.
20. The system of claim 15 , wherein the graphical user interface includes, for each document of the plurality of documents, an option to view each document of the plurality of documents in a native format, a graphical format, a text format, a production format, a translated format, or an original format.