SlideShare ist ein Scribd-Unternehmen logo
1 von 16
Overview: Wisconsin’s New eDiscovery Rules Prof. Jay Grenig, Marquette University Matt Stippich, Esq., Digital Intelligence, Inc. Kelly Twigger, Esq., ESI Attorneys, LLC
Agenda History of the new rules Considerations in making and responding to ESI requests Scheduling and discovery conference issues Preservation and production issues Special masters
802.10(3)(jm) – Scheduling Order The scheduling order may address. . . .(jm) the need for discovery of electronically stored information. Early attention to eDiscovery issues Reference to 805.06 (referees/special master)
804.01(4m) – Discovery Conference Discovery conference At any time after commencement of an action, on the court’s own motion or the motion of a party, the court may order the parties to confer by appropriate means, including in person, regarding any of the following, except with the discovery of electronically stored information, where the parties must confer unless excused by the court.
804.01(4m) – Discovery Conference To be discussed: Timing Preservation Form of production Privilege/clawback Cost/limitations Appointment of Referee (805.06) or Expert (907.06)
804.08(3) – Business Records Option to produce or allow access to business records in response to an interrogatory Burden of deriving the answer from the information must be substantially the same for either party See FRCP 33(d)
804.09(1) and (2) Includes production of “electronically stored information” Requesting party may specify “form” of production of ESI If no form is requested, information must be produced in the form in which it is ordinarily maintained or in a “reasonably usable form” Responding party may object to form of production
Form of Production Native Paper TIFF, PDF Automated Litigation Support (Summation, Relativity, etc.) Metadata issues
804.12(4m) “Safe Harbor” – be careful Applies to information lost as a result of “routine operation” of an information Loss must be in good faith Intervention may be necessary after duty to preserve arises
805.07(2) Subpoena Parallel to FRCP 45(a) and (d)
65% of costs  Translating GB to $$
[object Object]
8 bits = 1 byte
1,024 bytes = 1 kilobyte (KB)
1,024 KB = 1 megabyte (MB)
1,024 MB = 1 gigabyte (GB) (75,000 pages)

Weitere ähnliche Inhalte

Ähnlich wie Understanding Wisconsin\'s E-discovery Rules

So Long Computer Overlords
So Long Computer OverlordsSo Long Computer Overlords
So Long Computer OverlordsIan Foster
 
Rpi talk foster september 2011
Rpi talk foster september 2011Rpi talk foster september 2011
Rpi talk foster september 2011Ian Foster
 
Managing ESI to Control Costs in E-discovery
Managing ESI to Control Costs in E-discoveryManaging ESI to Control Costs in E-discovery
Managing ESI to Control Costs in E-discoveryESI Attorneys LLC
 
Storage Conference 08 V2
Storage Conference 08 V2Storage Conference 08 V2
Storage Conference 08 V2Pini Cohen
 
Design and Implementation of A Data Stream Management System
Design and Implementation of A Data Stream Management SystemDesign and Implementation of A Data Stream Management System
Design and Implementation of A Data Stream Management SystemErdi Olmezogullari
 
Azure: Lessons From The Field
Azure: Lessons From The FieldAzure: Lessons From The Field
Azure: Lessons From The FieldRob Gillen
 
eScience: A Transformed Scientific Method
eScience: A Transformed Scientific MethodeScience: A Transformed Scientific Method
eScience: A Transformed Scientific MethodDuncan Hull
 
Intelligent Transportation System (ITS) Data Storage Cost Primer
Intelligent Transportation System (ITS) Data Storage Cost PrimerIntelligent Transportation System (ITS) Data Storage Cost Primer
Intelligent Transportation System (ITS) Data Storage Cost Primerisraellopez215
 
e-Discovery: A case for amendments to civil procedure rules ?
e-Discovery: A case for amendments to civil procedure rules ?e-Discovery: A case for amendments to civil procedure rules ?
e-Discovery: A case for amendments to civil procedure rules ?Keisha-Ann Thompson
 
DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios  DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios Archiver
 
Webinar: Best Practices for Getting Started with MongoDB
Webinar: Best Practices for Getting Started with MongoDBWebinar: Best Practices for Getting Started with MongoDB
Webinar: Best Practices for Getting Started with MongoDBMongoDB
 
MongoDB Best Practices
MongoDB Best PracticesMongoDB Best Practices
MongoDB Best PracticesLewis Lin 🦊
 
MongoDB for Time Series Data
MongoDB for Time Series DataMongoDB for Time Series Data
MongoDB for Time Series DataMongoDB
 
Windows Azure: Lessons From The Field
Windows Azure: Lessons From The FieldWindows Azure: Lessons From The Field
Windows Azure: Lessons From The FieldRob Gillen
 
Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...
Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...
Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...Todd Whitehead
 
Discovery Engines for Big Data: Accelerating Discovery in Basic Energy Sciences
Discovery Engines for Big Data: Accelerating Discovery in Basic Energy SciencesDiscovery Engines for Big Data: Accelerating Discovery in Basic Energy Sciences
Discovery Engines for Big Data: Accelerating Discovery in Basic Energy SciencesIan Foster
 
Computing Outside The Box June 2009
Computing Outside The Box June 2009Computing Outside The Box June 2009
Computing Outside The Box June 2009Ian Foster
 

Ähnlich wie Understanding Wisconsin\'s E-discovery Rules (20)

Insourcing Webinar
Insourcing WebinarInsourcing Webinar
Insourcing Webinar
 
So Long Computer Overlords
So Long Computer OverlordsSo Long Computer Overlords
So Long Computer Overlords
 
Rpi talk foster september 2011
Rpi talk foster september 2011Rpi talk foster september 2011
Rpi talk foster september 2011
 
Managing ESI to Control Costs in E-discovery
Managing ESI to Control Costs in E-discoveryManaging ESI to Control Costs in E-discovery
Managing ESI to Control Costs in E-discovery
 
Storage Conference 08 V2
Storage Conference 08 V2Storage Conference 08 V2
Storage Conference 08 V2
 
Design and Implementation of A Data Stream Management System
Design and Implementation of A Data Stream Management SystemDesign and Implementation of A Data Stream Management System
Design and Implementation of A Data Stream Management System
 
Systore07 V4
Systore07 V4Systore07 V4
Systore07 V4
 
Azure: Lessons From The Field
Azure: Lessons From The FieldAzure: Lessons From The Field
Azure: Lessons From The Field
 
eScience: A Transformed Scientific Method
eScience: A Transformed Scientific MethodeScience: A Transformed Scientific Method
eScience: A Transformed Scientific Method
 
Intelligent Transportation System (ITS) Data Storage Cost Primer
Intelligent Transportation System (ITS) Data Storage Cost PrimerIntelligent Transportation System (ITS) Data Storage Cost Primer
Intelligent Transportation System (ITS) Data Storage Cost Primer
 
e-Discovery: A case for amendments to civil procedure rules ?
e-Discovery: A case for amendments to civil procedure rules ?e-Discovery: A case for amendments to civil procedure rules ?
e-Discovery: A case for amendments to civil procedure rules ?
 
DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios  DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios
 
Webinar: Best Practices for Getting Started with MongoDB
Webinar: Best Practices for Getting Started with MongoDBWebinar: Best Practices for Getting Started with MongoDB
Webinar: Best Practices for Getting Started with MongoDB
 
MongoDB Best Practices
MongoDB Best PracticesMongoDB Best Practices
MongoDB Best Practices
 
MongoDB for Time Series Data
MongoDB for Time Series DataMongoDB for Time Series Data
MongoDB for Time Series Data
 
Windows Azure: Lessons From The Field
Windows Azure: Lessons From The FieldWindows Azure: Lessons From The Field
Windows Azure: Lessons From The Field
 
Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...
Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...
Inflight to Insights: Real-time Insights with Event Hubs, Stream Analytics an...
 
Web Servers
Web Servers Web Servers
Web Servers
 
Discovery Engines for Big Data: Accelerating Discovery in Basic Energy Sciences
Discovery Engines for Big Data: Accelerating Discovery in Basic Energy SciencesDiscovery Engines for Big Data: Accelerating Discovery in Basic Energy Sciences
Discovery Engines for Big Data: Accelerating Discovery in Basic Energy Sciences
 
Computing Outside The Box June 2009
Computing Outside The Box June 2009Computing Outside The Box June 2009
Computing Outside The Box June 2009
 

Understanding Wisconsin\'s E-discovery Rules

  • 1. Overview: Wisconsin’s New eDiscovery Rules Prof. Jay Grenig, Marquette University Matt Stippich, Esq., Digital Intelligence, Inc. Kelly Twigger, Esq., ESI Attorneys, LLC
  • 2. Agenda History of the new rules Considerations in making and responding to ESI requests Scheduling and discovery conference issues Preservation and production issues Special masters
  • 3. 802.10(3)(jm) – Scheduling Order The scheduling order may address. . . .(jm) the need for discovery of electronically stored information. Early attention to eDiscovery issues Reference to 805.06 (referees/special master)
  • 4. 804.01(4m) – Discovery Conference Discovery conference At any time after commencement of an action, on the court’s own motion or the motion of a party, the court may order the parties to confer by appropriate means, including in person, regarding any of the following, except with the discovery of electronically stored information, where the parties must confer unless excused by the court.
  • 5. 804.01(4m) – Discovery Conference To be discussed: Timing Preservation Form of production Privilege/clawback Cost/limitations Appointment of Referee (805.06) or Expert (907.06)
  • 6. 804.08(3) – Business Records Option to produce or allow access to business records in response to an interrogatory Burden of deriving the answer from the information must be substantially the same for either party See FRCP 33(d)
  • 7. 804.09(1) and (2) Includes production of “electronically stored information” Requesting party may specify “form” of production of ESI If no form is requested, information must be produced in the form in which it is ordinarily maintained or in a “reasonably usable form” Responding party may object to form of production
  • 8. Form of Production Native Paper TIFF, PDF Automated Litigation Support (Summation, Relativity, etc.) Metadata issues
  • 9. 804.12(4m) “Safe Harbor” – be careful Applies to information lost as a result of “routine operation” of an information Loss must be in good faith Intervention may be necessary after duty to preserve arises
  • 10. 805.07(2) Subpoena Parallel to FRCP 45(a) and (d)
  • 11. 65% of costs Translating GB to $$
  • 12.
  • 13. 8 bits = 1 byte
  • 14. 1,024 bytes = 1 kilobyte (KB)
  • 15. 1,024 KB = 1 megabyte (MB)
  • 16. 1,024 MB = 1 gigabyte (GB) (75,000 pages)
  • 17. 1,024 GB = 1 terabyte (TB) (250 billion pages)
  • 18. 1,024 TB = 1 petabyte (PB)Paper vs. ESI
  • 19. Cost of Review = Number of Review Hours Hourly Rate X Average Review Rates: Using Concordance/Summation – 40-60 docs/hour Using online review platform with advanced features – 100-150 docs/hour Using concept clustering tools – 300 docs/hour 70% faster review rates with concept clustering, near de-duplication and email thread grouping *Based on median value of 15,791 for files per GB provided by EDRM benchmark at http://www.edrm.net **Assumes review rate of 350 documents per hour ESI Review Costs
  • 20. Examples: Cost for 2GB Review (31,562 documents*) Using Summation/Concordance Using web-based review platform Using concept analytics, near de-duplication and email thread grouping 631 hours ** X $200 = $126,200 287 hours ^ X $200 = $57,400 105 hours” X $200 = $21,000 *Based on median value of 15,791 for files per GB provided by EDRM benchmark at http://www.edrm.net **Assumes review rate of 50 documents per hour ^Assumes review rate of 110 documents per hour “Assumes review rate of 300 documents per hour ESI Review Costs
  • 21. Examples: Cost for 57.7GB Review (911,140 documents*) Using Summation/Concordance Using web-based review platform Using concept analytics, near de-duplication and email thread grouping 22,778 hours ** X $200 = $4,555,703 8283 hours ^ X $200 =$1,656,618 3037” X $200 = $607,426 *Based on median value of 15,791 for files per GB provided by EDRM benchmark at http://www.edrm.net **Assumes review rate of 50 documents per hour ^Assumes review rate of 110 documents per hour “Assumes review rate of 300 documents per hour ESI Review Costs