Redefining High Speed ediscovery Processing & Production

Redefining High Speed eDiscovery

Processing & Production

Conversion of the EDRM Enron Dataset from Natives to TIFF images in 5.3 hours (23 Million pages/day rate) using the Lexbe eDiscovery Processing System

August 6, 2014

Karsten Weber

eDiscovery Webinar Series

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eDiscovery Webinar Series

Lexbe is an Austin, TX based eDiscovery software and services provider.

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Lexbe eDiscovery Platform is a hosted eDiscovery processing and review tool. Users can load a variety of file types, process for review, OCR for search, and conduct document reviews, productions, prepare for depos & analyze transcripts, conduct case analytics, prepare for dispositive motions, and provide litigation support during trial.

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Lexbe performs large volume document culling, processing from native to PDF or TIFF, load file creation, high-volume OCR of image files, Rule 26 and project management consulting, and related eDiscovery Services.

About Lexbe

Lexbe Sales

[email protected] (800) 401-7809 x22

If you have any questions or technical issues, please e-mail them to:

[email protected]

Questions will be forwarded to Gene and answered during the webinar or

via e-mail if we run out of time.

eDiscovery Webinar Series

eDiscovery Webinar Series

Karsten Weber bio

○ Current

- Principal of Lexbe LC

- Principal Architect of Lexbe eDiscovery Platform and Lexbe eDiscovery Services

○ Prior Experience

- Consulting Expert, Lumin Expert Group - Director of Software, nLine Corporation

- Software Engineering Manager, KLA-Tencor

○ Education

- MBA, University of Texas

- M.S. Engineering, Danish Technical University

Contact

Karsten Weber 512-686-3469

[email protected]

○ Background of eDiscovery Processing & Production

○ eDiscovery Review Tools in Use Today

○ TIFF Popularity and Processing Throughput Challenge

○ The Lexbe eDiscovery Processing System

○ Test Methodology & the EDRM Enron Data Set

○ Performance Results

○ Comparison with a Large Provider Using Traditional Processing Methods

○ Conclusion

Executive Summary

Data Types and Volume Keep Expanding

Growth of Data Worldwide

Voip Email iPhones Peer-to-Peer Online Storage Digital Cameras Facebook | LinkedIn DropBox | Backup Devices Elastic Storage | SaaS | Google Streets Personal Blogs | Skype | World Satellite Images Personal Scanners | Customer Service Recordings Public Webcams | Google Goggles | Netbooks | Cloud Instance Servers

| PaaS

Digital Information Created, Captured, Replicated Worldwide

Zettabytes* 4 3 2 1 2005 2010 2015

Source: IDC Digital Universe Study (2012) * 1 Zettabyte = 1 Trillion Gigabytes

Growth of eDiscovery Processing

Data Volume is Rising

GBs of ESI in a Typical Commercial Case

Low High

1995 2000 2005 2010 2015

Enron Criminal Trial (2005)

○ Source ESI: 100M pages (~4 TBs)

○ Brought to Trial: 1M pages (~40 GBs)

○ Extraordinary at time

○ Not now

Microsoft (2011)

○ Microsoft collects 45 custodians per matter average (2011)

○ Almost 1 TB per matter, average

Growth of eDiscovery Processing

Processing Costs Are Falling - But Still High

2005 2010 2015

High Speed eDiscovery Processing & Production | EDRM Enron Demonstration | August 2014

$2,000 $1,500 $1,000 $500 $0 $1,800/GB (2006)

Source: Forrester Research

$500/GB (2011)

Source: Forrester Research

ESI Processing costs have fallen 90% in the last 10 years

eDiscovery Market is Big & Growing

Source: Complex Discovery (ComplexDiscovery.com) Based on a combination of public market sizing estimates.

Software & Services

○ $5.5 Billion today

○ Growing 15.5% annually ○ Projected $9.8 Billion (2017) ○ Services (72%)

○ Software (28%)

eDiscovery Processing Background

Processing Activities & Functions

Collection

○ Identify and execute retrieval of discoverable documents and electronic

evidence.

Culling

○ Reduces collections using keyword or date range parameters

Native Processing

○ Convert Native Documents (Outlook, Microsoft Office, etc.) into reviewable

formats (TIFF, PDF, Near Native)

○ Can include application of OCR to make documents searchable

Review

○ Load/ingest ESI into Litigation Database to prepare for trial

Production

○ Create a production in a specified format and apply Bates Numbers

○ Apply Privilege QC procedures to avoid inadvertently producing confidential

case documents. Processing Graphic Setup & Planning Collection Culling & Analysis Review & Production Depos & Motions Processing

eDiscovery Processing Background

Review Environments and TIFF

Type Example Description

TIFF Concordance,

Summation, CaseLogistix, RingTail, iConnect

○ Currently the most commonly used

format/review environment

○ Must process ESI to single page TIFFs

with text and load files before review

PDF WorldDox, Adobe ○ Requires Documents to be converted to

PDF for review

Processed Natives

Relativity, Allegro ○ Must process ESI into a ‘native load file’

○ Generate ‘near native’ HTML for review

Raw Natives

Lexbe, Digital Warroom, NextPoint

○ Load raw natives that will be

automatically processed within the review software

eDiscovery Processing Background

TIFF Background

○ 2013 ILTA (International Legal Technology

Association) survey found that the vast

majority (91%) of firms still use TIFF-Based software.

TIFF Benefits:

○ Standardized Review Format

○ Page level Bates Stamping can be applied

○ Addresses concern of opposition altering

native files

○ Easy to redact

○ TIFF viewer is only requirement

○ Often can be hosted & supported internally

eDiscovery Processing Background

The TIFFing Challenge

○ Traditional TIFFing methods

have been time consuming and expensive due to the

process’ need for considerable computing power

○ As data volumes continue to increase in size, the time

and expense issues associated with TIFFing become more severe

● Use industry standard dataset to ensure

transparent result. Study was run on the 53 GB EDRM Enron Data Set.

● What is the TIFF throughput rate of LEPS?

● How automated is LEPS?

● What quality control procedures are in place?

● How does LEPS compare to current industry

leaders?

Meeting the Challenge - Study Goals

High-Speed eDiscovery Processing

High Speed eDiscovery Processing & Production | EDRM Enron Demonstration | August 2014

Evaluate the Capabilities of Lexbe eDiscovery Processing System (LEPS) under testable and repeatable conditions

High-Speed Processing Demonstration

Lexbe Architecture

Scalable

Systems architecture allows LEPS to increase server instances to apply more resources to your processing task

Automated

LEPS minimizes the need for ‘babysitting’.

Fault Tolerant

Processing tasks are not ‘batch-centric’ and check-out/check-in procedures insure individual processing steps operate independently

Secure Processing Environment

LEPS is powered by Amazon S3 servers to facilitate redundancy and the high security standards. All data is strong encrypted (256-bit) transit and in-place. Our data centers provide SOC I and II reports published under SSAE 16 and ISAE 3402 professional standards and are ISO 27001 certified.

High-Speed Processing Demonstration

Lexbe Process

○ Archive/Container Decompression

○ File Repair

○ Metadata extraction & fielding

○ MD5 hash code generation

○ System file identification & DeNIST ○ Email attachment extraction &

parent email association

○ Native text extraction

○ OCR of image files

○ Full-text indexing

○ Bates stamping

○ PDF & TIFF creation

○ Placeholder creation

○ Native extracted, PDF and TIFF

loadfile generation in multiple formats: XLSX (Lexbe), DAT/OPT (Case Logistix, Concordance, iPro Allegro, Ringtail, Kura Relativity) and DII (Summation), and quality control reports

High-Speed Processing Demonstration

○ High quality output is critical, especially when making a claim of increased efficiency.

High-Speed Processing Demonstration

Sample Output

High-Speed Processing Demonstration

Lexbe Quality Control Tools and Features

○ Programmatic batching of processing to individual servers (reduces

human error)

○ Custom QC flag creation and filtering

○ Integration with Excel for reporting and analysis

○ Pivot table analysis and charting

○ Ability to view all documents including parent containers (email and

attachments) together

○ Ability to verify image quality

○ Filtering and reporting by any captured or calculated fields including

failed to convert, words in document, placeholders, etc.

○ Native files are extracted and provided for linked load and review

○ Statistical sampling and reporting

High quality output is critical, especially when making a claim of increased efficiency.

eDiscovery Processing Background

Providers of TIFF Processing

Type Example Description

Service Providers Xerox, Lexbe etc ● Business Service bureaus that

deliver a wide range of processing service.

● Local server setup and capacity

Professionals Internal Litigation

Support

● Department inside of law firms

responsible for conducting litigation support processing functions.

● Often work with service and

software providers to meet internal demands.

Software Providers Ipro, Law ● Develop processing software that is

licensed for resale by service

providers or use in internal litigation support departments

Lexbe v. Xerox

Compare Lexbe to Industry Leaders

○ Xerox is known for its

high-volume litigation processing and production capacity. ○ Xerox states in its service

literature that its production capacity is 5 million pages a day.

○ TIFF is important and turn around time is critical

○ Traditional approaches:

■ Fixed capacity leading to variable turn-around time.

○ Lexbe approach:

■ Scalable capacity leading to fixed turn around time.

○ Lexbe study demonstrates what we believe is the worlds fastest TIFF processing thereby allowing you to meet even the toughest discovery deadlines.

Summary

High-Speed eDiscovery Processing

Related Lexbe Services

High-Speed eDiscovery Processing

○ ESI Culling+ Reduce ESI stores to manageable sizes with DeNIST,

deduplication, date culling and keyword culling. Metadata extractions and PST reconstitution is available as well.

○ ESI Email Collection+ Flatten and extract native file attachments and

metadata to create loadfiles in preparation for native or near native review.

○ Native Processing+ Convert native documents, including Outlook

Email and Microsoft Office files, into TIFF or PDF format for

searchability, bates stamping, and preparation for online review. ○ eDiscovery OCR+ Apply optical character recognition to increase

searchability of PDFs, TIFFs, or document-formatted JPGs or PNGs. ○ NearDup Groupings+ Identify key documents, group similar

documents, ensure consistency in privilege coding, and enable email threading.

Thank You

Contact Info

Karsten Weber: [email protected]

Principal: (800) 401-7809

Stu Van Dusen [email protected]

Marketing Manager: (512) 669-9485

Webinar Questions: [email protected]