Industry Focus : Law Electronic discovery Tempo’s Electronic Document Discovery (EDD) provides conversion of a diverse collection of electronic document files- emails, spreadsheets, word documents,
email attachments and more into uniform image and data files that can be loaded directly into your litigation support application or your web repository.
The processed files are indexed and organized into a database system linked to images, with metadata captured. Our tool provides a fully searchable database created from the original documents
in a multitude of formats into one standardized format.
Our EDD services include:
• Conversion to Tiff or PDF
• Creating Load Files
• Native file option
• Email and attachments linked
• Full-text extraction
• Metadata capture
• Keyword and concept search
• De-duping and filtering across multiple EDD databases
• Virus detection and flagging
• Attorney review and tagging
• Concept of Custodian
• Storage of Data
Document coding Document coding provides a systematic, standardized organization of documents for efficient data retrieval. The objective of Coding is to identify and capture
relevant content from the collection of images. It creates database(s) of your choice, based on the fields pertinent to specific case requirements. Data Fields typically include document
date, title, type, Author, Recipient, Copyee as well as characteristics such as Marginalia, Foreign Language, Handwritten etc.
Logical document boundaries and Attachment Range relationships are critical to the validity and usefulness of a database. In logical unitization we use key variables to distinguish documents
from each other and also define attachment relationships among contiguous documents. This aspect of Bibliographic Coding can also be customized to allow for Email threads to be coded individually
or to bundle similar documents based on title, date etc., as is sometimes required for issue based coding.
Our coders are trained to meet the unique needs of each project ranging from Standard Bibliographic Coding to highly complex multi-tiered in-text and subjective data capture. Names-in-text,
marginalia names and keywords are often captured to facilitate in-depth coding for easy retrieval of all pertinent records.
