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Events

« May 02, 2009 - June 01, 2009 »
 
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Start: 9:00 am
End: 11:30 am

Few companies reliably predict the discovery and review cost of a matter and as a result, overall costs are much higher. Most approaches to reducing discovery costs are limited because they don’t address the root cause – too little visibility and too much data. Legal’s process can bloat cost and data volume dramatically, driving cost up and profit down. These sessions will focus on continuously assessing the cost of each matter so that critical cost decision points are not by-passed and greater review volumes are not created. Best practices and case studies for linking Legal, IT and Records to defensibly dispose of data and reduce data management costs will be provided as well as metrics for collection and review costs, and for forecasting discovery costs.

05 / 20
05 / 21
Start: 9:00 am

Few companies reliably predict the discovery and review cost of a matter and as a result, overall costs are much higher.   The challenges inherent in gathering and compiling volume and custodian data preclude routine negotiations for reduced production scope and lead to unpleasant surprises for internal clients.   This program will provide methods and models for continuously assessing discovery costs in each matter and across the portfolio to reign in unnecessary spending, drive better case decisions, and control the fiscal impact of litigation. Real expertise in developing cost models and discovery cost controls will be shared by participants and our practitioner guest speakers.

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05 / 27
Start: 9:00 am

Few companies reliably predict the discovery and review cost of a matter and as a result, overall costs are much higher. Most approaches to reducing discovery costs are limited because they don’t address the root cause – too little visibility and too much data. Legal’s process can bloat cost and data volume dramatically, driving cost up and profit down. These sessions will focus on continuously assessing the cost of each matter so that critical cost decision points are not by-passed and greater review volumes are not created. Best practices and case studies for linking Legal, IT and Records to defensibly dispose of data and reduce data management costs will be provided as well as metrics for collection and review costs, and for forecasting discovery costs.

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