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Services Overview

Encoding

Unitization
 
Population Analysis & Levels of Treatment

Valora's unique ability to gain an early understanding of electronic and paper document populations allows us to custom-tailor our subsequent processing to meet specific customer requirements. Armed with these analytics, customers can apply multiple Levels of Treatment (LOT) to various segments of their population, saving time, resources and money.

Document Encoding

Document encoding (sometimes called Indexing) is the systematic review and cataloging of litigation documents. For each document in the collection, fielded data is captured for common “bibliographic” data such as: Author, Recipient, Copyees, Date, Subject and Document Type. Valora also supports encoding for Names Mentioned, Key Words, Organizations, Characteristics, Other Bates Numbers, and Estimated Date. LDD (also called Unitizing) is the separation of documents into their natural, most logical boundaries. Unitizing documents helps ensure each document is distinct, has its own relevant field encoding and can be retrieved uniquely from the database.

Automated Document Review

Utilizing the same principles of data capture and analysis, Valora now provides first-pass review of documents for its clients. Extending simple bibliographic coding to now include more subjective analysis, such as near-duplicate detection, grouping documents by topic area, issue/subjective coding, privilege and confidentiality – including content redaction, and responsiveness, Valora has raised the bar on providing automated document review and analysis.

ESI Processing (EDD)

Valora's process for handling documents that start out as electronic files (from a hard drive or server), rather than as printed paper, includes extracting text from native files, creating TIF images and capturing any available file metadata. In addition, Valora has pioneered a technique to fill-in the gaps that result from typical ESI processing, such as missing text files and incomplete or inaccurate metadata. Typically, most ESI productions have 30-40% of files with no text and/or no metadata. (Native files and email attachments are frequent offenders.) Valora enables treating electronic documents and paper documents in the same manner, resulting in true, accurate bibliographic fields for all documents. The end result is a unified database for sorting and searching across both electronic and paper populations.

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