Upload
emily-mermell
View
357
Download
2
Tags:
Embed Size (px)
DESCRIPTION
The surge in volume and types of data has fueled corporate litigation costs and fostered an environment of uncertainty and second-guessing. Combining reporting and metrics with a commitment to sound processes can improve case strategy and budgeting and help predict and monitor costs. This panel addresses: • The pros and cons of flat-fee arrangements, • Correctly gauging costs and scope, • Building transparency into e-discovery processes, and • Aligning expectations of in-house and retained counsel, Hear experts from top corporations share their secrets and best practices for reducing and forecasting costs.
Citation preview
Getting Past Guesswork: Achieving Cost Predictability Through Process and Reporting
Thursday, Oct. 10 | 10 – 11:15
Presented by
Lael Andara
IP Litigation Partner | Ropers Majeski Kohn & Bentley
Peter Oesterling
Assistant General Counsel | Nationwide
Mara Sconce
Litigation Counsel | Dell
Model and overall approach to cost containment
• Standard Pricing model for e-discovery services
• L600 series UTBMS e-discovery billing codes
• Effective communication among all relevant stakeholders
Lael Andara
IP Litigation Partner | Ropers Majeski Kohn & Bentley
Expectations
COST TIME
SCOPE NEED
CooperationCompany
ESI Vendor
OutsideCounsel
Foreign
CounselFact
ExpertDamagesExpert
COURT
Collaborate
Collaborate
Core Competence: Identify Limitations
Core Competence: Ignorance Is Risk
Shared Goal: Admissible Evidence
Proportional
Amount in Controver
sy
Needs of the Case
FRCP 26(b)(1)
Interview
Inventory
Preservation
Conference Vendor/Client/Coun
sel
Meet & Confer with Opposition to Limit
Scope
Early Assessment
Measure twice!
Not to Exceed Budget
• Courts require early ESI assessment
• Assessment can help narrow scope/cost by meet & confer
• Assessment allows for early budgeting
• Budgets should be based on what was known based on the pending claims
Iterative
• Expect the unexpected!
Mara Sconce
Litigation Counsel | Dell
Practical approaches to make e-discovery more predictable
• Develop a repeatable process through templates and forms
• Learn from your data and prior cases
• Utilize technology
• In sum, look for opportunities to gain efficiencies
Your Notes
_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Your Notes
_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Your Notes
_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________