Abstract: A method and apparatus for rapid replication of deduplicated file system data is described. The method may include initiating replication of a file from a source deduplication system to a destination deduplication system, and transferring deduplication metadata for each block of the file from the source deduplication system to the destination deduplication system. The method may also include transferring an identifier file from the source deduplication system to the destination deduplication system that includes a block number corresponding to a block of the file and a unique identifier value generated from the block of the file. The method may also include receiving a data request file from the destination deduplication system, and transferring the blocks of data identified in the data request file to complete replication of the file on the destination deduplication system.

Abstract: A computerized method of searching a collection of electronic documents may include comparing search terms to sets of paragraph terms associated with paragraphs in the documents. Search terms and paragraph terms may be standardized, prior to the comparison. The method may also include generating paragraph scores for the paragraphs using term weight values associated with paragraph terms that match search terms, generating paragraph scores for the paragraphs, and using the paragraph scores to generate overall document scores. The method may also include using the overall document scores to determine a set of search results and providing the search results to a display.

Abstract: A visualization-based interactive legal research tool that generates from a multi-dimensional citation network a semantics-constrained citation sub-network that focuses on one individual issue in which a user is interested, and puts the sub-network on an interactive user interface (“UT”), which allows the researcher to browse, navigate, and jump over to start new sub-networks on different issues that are relevant to original issues.

Abstract: A computer-implemented method of semantically linking, by a computing device, a citing document to a cited document in a corpus of documents includes locating at least one citation present in the citing document, determining a reason-for-citing for at least one citation, and determining a cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing. The method further includes populating a citation entry of a citation-pairing metadata file with a citing-document identifier, a reason-for-citing identifier, a cited-document identifier, and a cited-text-area identifier. The citation-pairing metadata file includes a plurality of citation entries and is stored separately from the citing document and the cited document.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems, methods, and computer-executable instructions described herein generally relate to increasing user productivity in reviewing query results by surfacing a set of documents ranked by their relative value calculated as a tabulation of how often they are cited for a specific purpose. A database management system can access an index of metadata corresponding to a set of content items in a corpus/corpora of electronically stored content. A sub-system is configured to receive a query request entered by a user in said interactive GUI.

Abstract: A computer-implemented method of generating an issue library from a corpus of documents defining a citation network includes semantically linking, by a computing device, electronic documents within the corpus of documents by pairing reasons-for-citing in citing documents with cited-text-areas in cited documents and storing citation entries associated with the semantically-linked electronic documents in a citation-pairing metadata file. The method may further include searching the citation-pairing metadata file for reasons-for-citing and cited-text-areas that are semantically similar to at least one issue to thereby group similar documents and reasons-for-citing by issue, and storing information regarding groups of semantically-similar reasons-for-citing and cited-text-areas in a plurality of issue library metadata entities. Each issue library metadata entity is associated with an individual issue.

Abstract: Disclosed herein are embodiments for lexicon generation. More specifically, at least one embodiment of a method includes determining a corpus term from a plurality of documents, generating a candidate term from the corpus term, and selecting a normalized term from the candidate term and the corpus term. Some embodiments include linking the normalized term with the candidate term and providing an electronic search capability for locating a first document, where the electronic search capability receives the candidate term as a search term and utilizes the normalized term to locate the first document.

Abstract: A computer-implemented method of generating an issue library from a corpus of documents defining a citation network includes semantically linking, by a computing device, electronic documents within the corpus of documents by pairing reasons-for-citing in citing documents with cited-text-areas in cited documents and storing citation entries associated with the semantically-linked electronic documents in a citation-pairing metadata file. The method may further include searching the citation-pairing metadata file for reasons-for-citing and cited-text-areas that are semantically similar to at least one issue to thereby group similar documents and reasons-for-citing by issue, and storing information regarding groups of semantically-similar reasons-for-citing and cited-text-areas in a plurality of issue library metadata entities. Each issue library metadata entity is associated with an individual issue.

Abstract: A computer-implemented method of semantically linking, by a computing device, a citing document to a cited document in a corpus of documents includes locating at least one citation present in the citing document, determining a reason-for-citing for at least one citation, and determining a cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing. The method further includes populating a citation entry of a citation-pairing metadata file with a citing-document identifier, a reason-for-citing identifier, a cited-document identifier, and a cited-text-area identifier. The citation-pairing metadata file includes a plurality of citation entries and is stored separately from the citing document and the cited document.

Abstract: A computerized method of searching a collection of electronic documents may include comparing search terms to sets of paragraph terms associated with paragraphs in the documents. Search terms and paragraph terms may be standardized, prior to the comparison. The method may also include generating paragraph scores for the paragraphs using term weight values associated with paragraph terms that match search terms, generating paragraph scores for the paragraphs, and using the paragraph scores to generate overall document scores. The method may also include using the overall document scores to determine a set of search results and providing the search results to a display.

Abstract: Disclosed herein are embodiments for lexicon generation. More specifically, at least one embodiment of a method includes determining a corpus term from a plurality of documents, generating a candidate term from the corpus term, and selecting a normalized term from the candidate term and the corpus term. Some embodiments include linking the normalized term with the candidate term and providing an electronic search capability for locating a first document, where the electronic search capability receives the candidate term as a search term and utilizes the normalized term to locate the first document.

Abstract: A computer-implemented method of semantically linking, by a computing device, a citing document to a cited document in a corpus of documents includes locating at least one citation present in the citing document, determining a reason-for-citing for at least one citation, and determining a cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing. The method further includes populating a citation entry of a citation-pairing metadata file with a citing-document identifier, a reason-for-citing identifier, a cited-document identifier, and a cited-text-area identifier. The citation-pairing metadata file includes a plurality of citation entries and is stored separately from the citing document and the cited document.

Abstract: A computer-implemented method of generating an issue library from a corpus of documents defining a citation network includes semantically linking, by a computing device, electronic documents within the corpus of documents by pairing reasons-for-citing in citing documents with cited-text-areas in cited documents and storing citation entries associated with the semantically-linked electronic documents in a citation-pairing metadata file. The method may further include searching the citation-pairing metadata file for reasons-for-citing and cited-text-areas that are semantically similar to at least one issue to thereby group similar documents and reasons-for-citing by issue, and storing information regarding groups of semantically-similar reasons-for-citing and cited-text-areas in a plurality of issue library metadata entities. Each issue library metadata entity is associated with an individual issue.

Abstract: A visualization-based interactive legal research tool that generates from a multi-dimensional citation network a semantics-constrained citation sub-network that focuses on one individual issue in which a user is interested, and puts the sub-network on an interactive user interface (“UT”), which allows the researcher to browse, navigate, and jump over to start new sub-networks on different issues that are relevant to original issues.

Abstract: Systems and methods for information storage replication are presented. In one embodiment, a namespace conversion process is performed. Node information regarding a file systems operation change is received. A changed node to pathname object conversion process is performed. An unchanged node to pathname object conversion process is performed. In one exemplary implementation, the changed node to pathname object conversion process and the unchanged node to pathname object conversion process utilize data structures that return the object indications and parent node indications. An object indication is inserted in a pathname.

Abstract: A visualization-based interactive legal research tool that generates from a multi-dimensional citation network a semantics-constrained citation sub-network that focuses on one individual issue in which a user is interested, and puts the sub-network on an interactive user interface (“UI”), which allows the researcher to browse, navigate, and jump over to start new sub-networks on different issues that are relevant to original issues.

Abstract: A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance.

Abstract: A data server platform includes a security file system layer interposed between the platform operating system kernel and file system. The secure file system layer is structured to implement a file access control function that selectively constrains data transfer operations initiated through the operating system kernel by an application program to transfer file data through the file system with respect to a persistent data store. A file access controller, implemented independent of the operating system kernel, is coupled to the security file system layer and supports the file access control function by defining permitted file data transfers through the file system. Management of the file access controller separate from the data server platform ensures that any security breach of the platform operating system kernel cannot compromise the function of the security file system layer.

Abstract: A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance.