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cP-DocRev — Integrated, Simple, Scalable, Secure, Affordable is a proprietary web-based eDiscovery Platform.
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codeMantra, LLC,
is a provider of comprehensive litigation support and software solutions,
founded in 2002 and headquartered in Plymouth Meeting, Pennsylvania.
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cP-DocRev — Integrated, Simple, Scalable, Secure, Affordable
is a proprietary web-based eDiscovery
Platform. Offers a predictable pricing schedule and takes the guess work
out of ediscovery costs.
codeMantra began an earnest initiative to build a simple and
straight forward document review platform. The underlying goal was to create a
user friendly review platform that was not only flexible, comprehensive yet
affordable and easily manageable.
After exhaustive research and analysis, we found that there
was no particular software nor application that offered a perfect blend of
attributes expected from a dedicated “review platform”. We decided to build a
platform that would be a cost effective alternative, easy to use allowing users
control over their data, being able to eliminate costs associated with external
workflow and project management. The solution would also come with built-in
analytics, ability to cull, review and produce documents at a very affordable
and transparent price.
Want to try it for yourself or run a comparison with your
current platform? Ask about our FREE No Risk Trial upload a data set produced
and compare results for yourself. Contact us at 610-940-1724 or at
cminfo@codemantra.net to schedule a demo.
To
Learn More about cP-DocRev
Robert Grande
Director of Sales and Marketing
610-940-1724
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1. Technology-assisted review, computer-assisted review, or predictive coding technologies will not replace human review, according to David Cohen, partner at Reed Smith. He said that document review technologies will still need humans to train systems and provide quality control. The undertow to the message: document review is not a career path.
2. Applying text analytics to document review reduces the cost of document review from dollars to cents per document. According to Cohen, human review, on average, can cost $1 to $3 per document. With Equivio, Reed Smith charges clients 3 cents per document after the system is trained, said Cohen. When asked how the firm calculates the cost to train a technology-assisted review system, Cohen said that Reed Smith charges clients by the billable hour.
3. If you can't get an agreement with your opponent on the use of technology-assisted review, said Cohen, don't forge ahead on your own (see Kleen Products v. Packaging Corp.). But there are still three use cases for TAR that don't require an agreement with your opposing party: use it on the production set your opponent delivers to you; use it to provide quality control to manual or human review; or use it to accelerate human review where automated review systems can identify highly relevant and irrelevant documents, which can be grouped or batched to speed review.
- Communication and planning
- Meet and confer
- Bring in the experts (internal resources, vendor, review team)
- Outline: scope, goals, deadlines
- Daily progress and quality control checks
- Strategic collection of data
- Strategic filtering of data
- Keeping your ESI in a native format
- Apply text analytics
