Abstract: Systems, methods, and computer readable media for identifying entities as legal entities are provided. These techniques may include accessing a corpus of documents and applying a persona prediction machine learning algorithm to classify entities associated with the corpus of documents. The persona prediction machine learning algorithm may include two layers. A first layer includes applying a signature block classifier that analyzes signature blocks of the entities. A second layer includes applying an entity classifier that analyzes a plurality of documents and/or network graphs associated with the entities. An entity database is updated to indicate the output of the persona prediction machine learning algorithm based on the signature block classifier and/or the entity classifier.

Abstract: Systems and methods related to maintaining a random sample of documents that is representative of a pool of documents are provided. As documents are ingested into the pool of documents, a random number may be assigned to the documents. The documents may then be sorted into an ordered list. As the documents in the pool are provided to a review platform for manual review, the documents may be included in a review queue based at least in part on the ordered list. As additional documents are added to the pool of documents, the new documents are interleaved into the ordered list to maintain the random and representative nature of the random sample.

Abstract: Systems and methods for object-based data storage are provided. A queue may be maintained of operations relating to a plurality of documents operable to be maintained at an object-based data storage. An independent operation may be identified in the queue that must be processed prior to processing at least one dependent operation to thereby enable parallelization of processing of operations in the queue. The identified independent operation may then be processed. Subsequently, the dependent operations may be processed.

Abstract: Systems and methods for contextual highlighting and redaction of documents are provided. Upon receiving highlighting data corresponding to a document, a client device may evaluate the highlighting data to generate a highlighting model, which may be stored in a cache of the client device. In response to an event, the highlighting model may be retrieved from the cache, and analyzed to determine a highlighting portion of a document model. A rendering of the document model including highlighting in the highlighted portion of the document model may then be displayed.

Abstract: Techniques for building automated workflow sequences associated with a document review platform are provided. A method includes accessing trigger event data from a trigger event database and action data from an action database; presenting a user interface to create a workflow; adding a function block to the workflow by: detecting a selection of an add function block option; presenting a function block including at least one of (i) a user-selectable option to select a trigger event from a list of trigger events populated based on the trigger event data or (ii) a user-selectable option to select an action from a list of actions populated based on the action data; and presenting the function block including at least one of a selected trigger event or a selected action; detecting that the workflow is ready for deployment; translating the workflow into a logic-based representation of the workflow; and deploying the logic-based representation.

Abstract: Techniques are described relating to the identification of location of content within an electronic document. Techniques may include generating a location identification rule specifying one or more parameters for identifying a location identifier (LID) for each of the one or more streams associated with the content of the electronic document. Further, the LID may be generated in accordance with the location identification rule. The LID may be assigned to at least a portion of the content, such that the portion of the content within the electronic document may be located in accordance with the LID.

Abstract: Systems and methods for object-based data storage are provided. There may be a read/write cache configured to cache objects to be written to an object-based data storage. A document in the read/write cache may have a lock state set to unlocked, thereby allowing the document to be deleted. Or, the document in the read/write cache may have a lock state set to locked, thereby preventing deletion of the document.

Abstract: A computer-implemented method stratified elusion includes selecting hypothetical cutoff ranks when a stopping point is reached, calculating for each respective cutoff rank a recall value, elusion value, and remaining count; and displaying each respective cutoff rank, recall value, elusion value, and remaining count. A stratified elusion system includes a processor and a memory storing instructions that, when executed, cause the system to select cutoff ranks when a stopping point is reached, calculate for each respective cutoff rank a recall value, elusion value, and remaining count; and display each respective cutoff rank, recall value, elusion value, and remaining count.

Abstract: In a computer-implemented method, an artificial neural network is trained to identify portions of conversation segments within electronic communication documents, wherein an input layer of the artificial neural network includes a plurality of input parameters each corresponding to a different characteristic of text-based content. The method also includes receiving a first electronic communication document that includes first text-based content, and processing the first text-based content using the trained artificial neural network. Processing the first text-based content includes generating one or more position indicators for the first electronic communication document, and the one or more position indicators include one or more segment portion indicators denoting positions of one or more portions of one or more conversation segments within the first electronic communication document.

Abstract: A computer-implemented method includes based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, displaying a stopping point indication. A computing system includes a processor; and a memory storing instructions that, when executed, cause the computing system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication. A non-transitory computer readable medium includes program instructions that when executed, cause a computer system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication.

Abstract: Systems and methods are provided for improving user experience in reading of email messages and other electronic communications. An interactive visualization of an electronic message may be provided, the visualization including a “dynamic message header region” that a user may cause to be collapsed and/or expanded to reduce the amount of device screen space occupied by message metadata and correspondingly increase the amount of device screen space available to display the message body, while maintaining accessibility of the while maintaining accessibility of the message metadata.

Abstract: Systems and methods for object-based data storage are provided. There may be a read/write cache configured to cache objects to be written to an object-based data storage. A document in the read/write cache may have a lock state set to unlocked, thereby allowing the document to be deleted. Or, the document in the read/write cache may have a lock state set to locked, thereby preventing deletion of the document.

Abstract: Techniques for building automated workflow sequences associated with a document review platform are provided. A method includes accessing trigger event data from a trigger event database and action data from an action database; presenting a user interface to create a workflow; adding a function block to the workflow by: detecting a selection of an add function block option; presenting a function block including at least one of (i) a user-selectable option to select a trigger event from a list of trigger events populated based on the trigger event data or (ii) a user-selectable option to select an action from a list of actions populated based on the action data; and presenting the function block including at least one of a selected trigger event or a selected action; detecting that the workflow is ready for deployment; translating the workflow into a logic-based representation of the workflow; and deploying the logic-based representation.

Abstract: A computer-implemented method of preloading content includes generating a user interface; receiving a set of object models; processing the received object models; based on detecting an event: (i) receiving a document model; and (ii) rendering the document model via a viewport. A non-transitory computer readable medium contains program instructions that when executed, cause a computer to generate a user interface; receive a set of object models; process the received object models; detect an event; receive a document model; and render the document model via a viewport. A computing system includes a processor and a memory storing instructions that when executed by the process, cause the computing system to generate a user interface; receive a set of object models; process the received object models; detect an event; receive a document model; and render the document model via a viewport.

Abstract: Systems, methods, and computer readable media for staging a corpus of electronic communication documents for analysis, such as, for example, via a content analysis platform. The staging may include a staging platform accessing the corpus of electronic communication document. For each electronic communication document within the corpus, the staging platform may generate a fingerprint based upon the output of a hash function executed upon a set of characteristics corresponding to each segment within the electronic communication document. The staging platform may analyze the generated fingerprints to generated a plurality of threaded conversations that do not include electronic communication documents that fail to convey any new information. The systems and methods may also include detecting and flagging any segments within an electronic communication document that may have been mutated by its author.

Abstract: A active learning family-based review method includes selecting a document ranked as relevant by a machine learning model, identifying family documents relationally-linked to the ranked relevant document, generating a batch including the ranked relevant document adjacent to the family documents, and displaying the batch in a computing device. An active learning family-based review computing system includes a processor and a memory storing instructions that, when executed, cause the computing system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch. A non-transitory computer readable medium stores program instructions that when executed, cause a computer system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch.

Abstract: Techniques are described relating to the identification of location of content within an electronic document. Techniques may include generating a location identification rule specifying one or more parameters for identifying a location identifier (LID) for each of the one or more streams associated with the content of the electronic document. Further, the LID may be generated in accordance with the location identification rule. The LID may be assigned to at least a portion of the content, such that the portion of the content within the electronic document may be located in accordance with the LID.

Abstract: A computer-implemented method for resolving date ambiguities in electronic communication documents includes identifying, within the documents, date field values each associated with a different instance of a communication segment. The method also includes resolving a candidate date for each different communication segment instance, with each candidate date being associated with a respective priority level indicative of a level of certainty with which the candidate date was resolved, and determining a final date from among the candidate dates at least by comparing the respective priority levels. The method further includes determining, based on the final date, an ordered relationship between the electronic communication documents, and storing metadata indicating the ordered relationship between the electronic communication documents.

Abstract: In a computer-implemented method for facilitating recognition of header fields in electronic communication documents, header definition data and an electronic communication document are received. The header definition data defines one or more characteristics of a first header format, wherein the one or more characteristics include one or both of (i) keywords or partial keywords, and (ii) positions, corresponding to one or more header fields. Text-based content of the electronic communication document includes conversation segments, which include one or more headers. Using the header definition data, values of header fields of at least one of the plurality of conversation segments are determined. Using the determined values, an ordered relationship between the electronic communication document and one or more other electronic communication documents is determined.

Abstract: Systems, methods, and computer readable media for staging a corpus of electronic communication documents for analysis, such as, for example, via a content analysis platform. The staging may include a staging platform accessing the corpus of electronic communication document. For each electronic communication document within the corpus, the staging platform may generate a fingerprint based upon the output of a hash function executed upon a set of characteristics corresponding to each segment within the electronic communication document. The staging platform may analyze the generated fingerprints to generated a plurality of threaded conversations that do not include electronic communication documents that fail to convey any new information. The systems and methods may also include detecting and flagging any segments within an electronic communication document that may have been mutated by its author.