DSR produces indexed databases of documents; document-recognition software combines scanned images with a database of search terms
Article Abstract:
Document-recognition software (DRS) creates document abstracts by analyzing the words and patterns of words that occur in documents without manual data input and is the most recent development in document management databases. Since an experienced coding team produces databases more detailed than those of DRS, the latter should be considered complementary to manual coding rather than a replacement and a way of making more information available early in a case. Putting the data in abstracted form enables the user to sort and to produce formatted reports.
Publication Name: The National Law Journal
Subject: Law
ISSN: 0162-7325
Year: 1998
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Progress in technology cuts litigation costs: developments in imaging and optical character recognition help streamline complex cases
Article Abstract:
Imaging and optical character recognition technology help streamline document management in complex cases. These advances are allowing the reengineering of the litigation support process beyond a mere automation of manual tasks. Examples include scanners which can categorize documents for immediate access, review documents for privilege and redaction and help move images to other display systems electronically.
Publication Name: The National Law Journal
Subject: Law
ISSN: 0162-7325
Year: 1995
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Managing litigation documents
Article Abstract:
An automated litigation support (ALS) system to facilitate searching and retrieval is a worthwhile purchase for any firm. An ALS system processes documents, information, data and research. Attorneys developing ALS systems should be involved in: determining its usage, selecting vendors, reviewing design, training staff, managing operations and contracts.
Publication Name: The National Law Journal
Subject: Law
ISSN: 0162-7325
Year: 1992
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