CloudNine™ LAW helps legal professionals and their service providers meet the increasing demands in the discovery of printed and electronic documents. By integrating production-level scanning with robust e-discovery and data processing features, LAW is optimized to enable scalable execution of even the largest discovery projects, from running multiple computers to batch scan boxes of paper documents to importing millions of e-mails and attachments from mail stores, to full text indexing, querying, and exporting to many other popular litigation support applications.
In practice, LAW supports these key discovery processes:
The CloudNine™ Explore and Explore Web modules are standalone prefiltering modules available as a complement to the CloudNine™ LAW suite. Use them to implement high volume electronic discovery productions. CloudNine™ Explore Web indexes, filters, and produces export sets. Culled documents are passed directly to LAW for full expansion and production. |
CloudNine™ LAW centers all activities, including data collection, processing, and export on the case. Each case corresponds to a database, which tracks all source files and production files, including graphics and text. In the process of creating a new case, you select a database engine, create and name the database, establish a folder structure for documents, and define any additional database fields you will need later for coding. Optionally, to simplify future case creation, you can create case templates that specify pre-defined options. |
In this step you may do any of the following activities that bring documents into the case: •Use Turbo Import, a new multi-agent ingestion engine designed to handle more import jobs, bigger data, and with a reduced infrastructure versus ED Loader. •Import electronic discovery using ED Loader to extract text and to record document metadata in the case database. •Scan paper documents to electronic format. •Import items and metadata from existing cases and load files. •Import existing TIFFs or other kinds of image files. •Assign custodians at the batch or source level. •Code documents with data fields. |
The exact nature and timing of quality control activities vary greatly, depending on the type and quality of source documents. Quality control typically involves multiple activities spread throughout the discovery project: •Error correction, for example: reviewing and fixing processing errors, keeping detailed logs of warning and other error conditions, and alerting you to suspected file extensions. •Tag documents that contain specific text or metadata attributes for the purpose of narrowing consideration to pertinent documents or pages. •Deduplicate files that were imported during electronic discovery. •Fix problems with TIFF files using built-in image cleanup tools. |
Batch Processing functionality helps to automate various processor-intensive jobs, including: document numbering, image cleanup, endorsing, conversion to TIFF or PDF, printing, and optical character recognition (OCR). LAW lets you take batch processing to a new level by combining the processing power of multiple computers to join distributed batch processing of large jobs. |
LAW provides a wide range of options for exporting to litigation support applications in a variety of standard formats, including: native files, images, coded data, and OCR text. For information on LAW and other litigation support products by CloudNine™, please visit our website. |