A Powerful Data Ingestion and Monitoring Tool Developed and Hosted by Capital Novus

Capital Novus' electronic discovery system provides maximum control over the processing of electronically stored information. eZProcess™ is a robust file handling and analysis tool that is currently made available as a Software-as-a-Service (SaaS), hosted by Capital Novus. The system is capable of not only ingesting and converting any 3rd party load files to other industry-standard type files, but it also has the ability to send the processed data to 3rd party platforms. A complete data processing and monitoring system, eZProcess™ monitors the data ingestion queue, recognizes when a task has been submitted from with instructions to ingest the data, interprets those instructions, and automatically begins data preprocessing. It also monitors the eZReview™ print view for document production purposes. eZProcess™ extracts and processes multiple data types, supporting data culling activities that include date filtering, vertical and horizontal deduplication, deNISTing, folder\file filtering, metadata and full text searching, language identification/translation, email threading, clustering, near de-duplication, and more.

Benefits Features Technical Notes Screenshots

The Keys to the Process Time Saving Data Processing Data is quickly processed by using best available algorithms. Cost Reducing Culling Workflow De-duplication, date filter, and file/folder filter provides for significant cost savings, and produces a smaller footprint on the network and storage servers. Flexibility and Customization Ingestion of any 3rd party load files and conversion of image file types from one industry standard to another allows for maximum flexibility. Expansive Load File Handling Standard load templates for delimited text and image files allows loading of all files at one time, accelerating the process. Automated Ingestion Circumvention Designation of any particular folder server allows ingestion of the withheld data from that location at an instant. Time Zone Independent Processing Data can be processed in different time zones/languages within the same matter, so that project work remains fluid, no matter where it has been processed. Salient Features/Highlights of eZProcess™ File Handling Supports multiple email formats including eml, nsf, pst, Groupwise, and their attachments Supports several hundred file formats and creates fully Unicode-compliant output Maintains centralized configuration of job specs at client matter level Processes native mail formats by utilizing wrappers for applications such as Lotus Notes, GroupWise, Eudora, etc. without conversion to MS Outlook Handles proprietary formats not typically supported such as GUL files, SolidWorks files, and Becky Mail Automatically detects file encoding Identifies each file type with file header analysis (not file extensions) Automatically unpacks compound files (e.g. zip, rar) and nested e-mails with their attachments Extracts all metadata and text from each file, including system-level metadata and document-level (embedded) metadata Extracts embedded objects from documents Identifies and captures additional content, such as hidden worksheets, header and footer, speaker notes, track-changes documents, password protected worksheets, hidden rows and columns, etc. Fast, high volume production of native files, images, searchable PDF files, and load files for in-house products, as well as major litigation software packages Performs image manipulation, formatting, and transformation Customizable per job/client matter and editable during lifecycle of project Analysis Creates comprehensive inventories of all files in the data set Performs automatic De-duplication Performs Near De-duplication, extracting content from files, comparing them against one another, and grouping similar documents together Automatically removes NIST file matches, so that no further processing is performed on irrelevant files Identifies whether or not a document has any of several distinct properties that can be crucial to litigation through Smart Data Analysis Provides document summaries or key phrases using an algorithm that extracts important terms and sentences from a document based on relevance and weight Automatically extracts and classifies data based on location, person, date, email address, etc. Generates standard summary reports, as well as custom reports during the various stages of the lifecycle of the project, according to the needs of the project Uses email threading to reconstruct and reflect the email conversation patterns between individuals, using the necessary metadata fields Provides automatic language recognition and option for automatic language translation Deployment as a Cluster Grid of processing machines Designed using Microsoft /Google products. Utilizes Application, Database, and Search Servers Application Configuration Case Configuration