Integrated Foreign Language Document Review - Lexbe€¦ · Lexbe eDiscovery Webinar Series For...

Integrated Foreign Language Document Review

An Improved Approach to Handling non-English ESI using Low-Cost

AI-Base Translation and an Integrated Review Platform

About our Webinars

● Webinars take place monthly and cover a variety of relevant eDiscovery topics

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● This Webinar and a complete listing of other onDemand webinars is part of the: Lexbe eDiscovery Webinar Series

● For notices of future live and on-Demand webinars as part of this series please email us at [email protected] or: Follow us on LinkedIN


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About Lexbe

We’re an Austin, TX based provider of highly affordable cloud-based eDiscovery software and services provider, specializing in serving boutique law firms and organizations. We provide:

● The Industry’s Most Affordable and Full-Featured DIY eDiscovery Platform● The Industry’s Fastest eDiscovery Processing & Document Review Software● Experienced eDiscovery Specialists and Expert Consultants

Gartner Customer Reviews

“Secure, easy-to-use and a great review tool for consideration”

“A powerful litigation document management service”

“Cost-effective eDiscovery”

****TITLE: Unbuntu 10px****Integrated Foreign Language Document Review

Guest Speaker

● CEO of Lexbe, a provider of cloud-based litigation processing, review and document management software & eDiscovery services

● Frequent speaker/author on eDiscovery and legal technology issues

● Planning Committee, Electronic Discovery Institute, State Bar of Texas

● eDiscovery consultant & expert

● EducationMBA, University of TexasJD, Southern Methodist UniversityBA, University of Texas

Gene Albert512-686-3460

[email protected]

https://www.linkedin.com/in/gene-albert



Agenda


● What is driving the need for foreign language review?

● Overview of foreign language review methodologies & budget preparation

● New AI-based machine translation approaches and applicability to legal review

● Integrated foreign language document review advantages

● Key takeaways in planning a foreign document review


Increased foreign language review factors


VoipEmail

iPhones Peer-to-Peer

Online StorageDigital Cameras

Facebook | LinkedIn DropBox | Backup Devices

Elastic Storage | SaaS | Google StreetsPersonal Blogs | Skype | World Satellite Images

Personal Scanners | Customer Service Recordings Public Webcams | Google Drive | Netbooks | Cloud Instance Servers | PaaS

● Growing ESI volumes increase the likelihood of multiple languages in a collection

● Increasing foreign direct investment/involvement in American corporate environment

● Globalization = more transnational business transactions and arrangements

● More cross-border workforces; ‘’Spanglish” problem (mixed language email threads)

“In our global economy, collections now often include documents in several languages. This is something that corporate legal departments have to deal with more frequently than ever. As a result, foreign language review is likely to be at the top of the list for outside counsel, corporate counsel, and anyone dealing with discovery.”

- Amy Kang, Esq.Black Letter Discovery

Factors Driving Increased Language Variability in Collections

Foreign language review workflow


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● Collect Foreign Language Documents

● Understand the scope of languages within the collection

● Determine a translation methodology

● Identify responsive, privileged, PII, confidential, & key foreign language documents

● Produce non-translated, and redacted (if necessary) original document version

● Prepare privilege log, ID key documents for translation & depos

Foreign Language Review Workflow

Traditional challenges


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Foreign Language Review Traditional Challenges

Methodology Benefits Potential Drawbacks

Translated to and reviewed in English

Accurate, availability of translation professionals

Expensive, no legal expertise

Reviewed in Native Language

Reviewers with understanding of legal principles

Expensive, difficult to assemble teams, slow

Machine Translation Fast, increasingly accurate, inexpensive

Need for native text extraction (not OCR); Possibly miss idiomatic/nuanced language (new AI-technology helps)

Methodology Cost Comparisons


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Assumptions



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1. Human Translation of All Docs



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2. Foreign Review of All Docs



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3. AI-Based Machine Translation & Hybrid Review



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Cost Comparison

Qualitative Comparisons


Workflow Comparison


Foreign Doc Review AI-Machine/Human HybridForeign Docs Segregated

Assigned to Foreign Reviewers

Foreign Review (Resp, Priv, PII, Issues, Key Doc)

Key Docs human translated to English

Depos

Production(in original language)

Foreign Docs Segregated

Machine Translation to English

English Lang Review (Resp, Priv, PII, Issues, Key Doc)

Key Docs human translated to English

Depos

Production(in original language)

Benefits of Hybrid Translation


AI-based Machine-Translation• Auto-translate to English • Search, Review and Produce in native language• Reviewers ID key documents for human translation, if needed• Human translators translate key documents• Translators work in Integrated Environment

Workflow Benefits• Faster English search with auto-translation• Faster review with auto-translated text• Integrated review environment speeds search & review• Translators only translate key documents

Time Savings• No waiting for human translation• English-language lawyers get faster access to case data• Faster review & production

Cost Benefits• Only human translate key documents• For many documents machine translation is enough• Substantial cost savings

AI-Based Translation Technology


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Modern Machine Translation Systems● Most current modern machine translation systems have moved away from word and phrase

based translations that rely on statistical rule-based translation algorithms

● Instead they use Neural Machine Translation○ Data, rather than dictionary, driven○ Translates at the phrase/sentence level, rather than words○ Takes into account grammar, semantics and context, other factors

● Popular translation services used in eDiscovery:○ Amazon Translate○ Google Translate○ Microsoft Bing Translate

What is Neural Machine Translation?


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From Amazon:

● What: Neural machine translation (NMT) is an approach to machine translation that uses deep learning models rather than traditional statistical rule-based translation algorithms.

● How: NMT uses a large artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. Artificial neural network systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

*https://aws.amazon.com/translate/

https://aws.amazon.com/translate/

What is integrated foreign language review?


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● Easily switch between original language and translated version using ‘tabs’

● Allows English-only reviewers to understand the content of foreign language documents with confidence

● Supports machine translation, manual translation, and foreign language review methodologies

Integrated Translation Viewer



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Easy Comparison Original & Translated

2 - Auto-Translation

3- Benefits• Easy Tabbed Navigation• Compare English & Foreign

1- Foreign Original• HTML tab in text• Original in PDF

• Auto Translate to English

• Translated Tab

Benefits of a Multilingual ‘Uber-Index’ Search Index


Cross-language Results

Dual-Language Results1 - Search in Spanish2 - Results in Spanish

3 - Search in English4 - Results in English

Dual Language Search• ‘Suprema Corte’ in Spanish• ‘Supreme Court’ in English• Uber-Index Search in both languages

Concept Identification• Concept Search expands language associations

1

2

3

4

Benefits of a Multilingual Search Index


Ex. Case With German Documents

Multi-language Search

Concept Search for

“Office”or “Bureau” or “Branch”

Will Also Return

“Bürogebäude” , “Niederlassung”, “Geschäftsstelle”, “Behörde”

Concept Identification• Concept Search expands language associations

• Doesn’t work well with acronyms, terms of art, abbreviations

1- Foreign Original• HTML tab in text• Original in PDF

2 - English

• Auto Translate to English

• English Highlights



Highlighted Hits in Original & English

3- Benefits• Easy Tabbed Navigation• Compare English & Foreign

Merging Updated Translation


Key Doc Human Translation WorkflowOriginal Non-English

Doc Uploaded

Machine Translated to English

Docs Reviewed & Coded in English

Key Docs Identified

Key Docs Sent to Certified Translator

Certified Translation Merged in Doc Record

Search Index Auto-Updated

● LEP Translated Tab houses corresponding Doc translation● Auto-populates when translation is run through LEP● Manual translation upload function available in Doc Viewer● Manual translation merges (bulk) available through processing

Importance of maintaining single document records


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1) A translated version of the original document is uploaded into the review platform.

2) English only reviewers begin conducting keyword searches to identify responsive, privileged documents

3) Reviewers identify a translated version as privileged, will be withheld from production. Original has not been identified as privileged.

4) Unless the privilege review protocol is repeated in every language that appears in the collection, there is a chance that the original version is produced.

Single Document Review Record for Coding

Out of synch review designations increase the risk of privilege waiver and/or withholding of responsive documents!

Original Translation

Effect of Scalability on integrated translation workflows


● Machine translation methodologies can combine with scalable cloud architectures to automatically translate foreign language documents quickly and make them immediately available for search and review.

● An initial review of machine translated documents can then determine if key documents require more concentrated manual translations or foreign language review by a native speaker with legal training.

● This approach can significantly reduce the time it takes to make translated version available for review.

Scalability & Speed

Summary - Use of Machine Translation for Review


● New neural network machine translation technologies improves machine translation quality and makes this approach viable and cost-effective for legal review

● English-language reviewers use machine translations for review, production, privilege review, and key document identification

● Key docs are human translated to English and substituted in the document record

● Hybrid AI-machine translation-based workflow speeds review, production and English-speaking attorneys assessment of key case evidence

● Reduced review costs

Summary - Integrated Foreign Language Review


● Support superior review team collaboration by allowing English speaking and foreign language reviewers to work within a single platform

● Maintain the relationship between the original version of a document and its English translation to maintain synchronicity between respective review designations

● Allow workflow of substitution of machine to human translation of the same document and record

● Search in any language to generate multi-lingual results

● Conduct multilingual concept searches to find all of the documents discussing particular issues and concepts.

● Reduce the overall time and expense of foreign language review and discovery by applying scalable resources to maximize workflow throughput

Key Takeaways - Planning for a Foreign Language Review


● Identify cases with foreign language document reviews early on through custodian interviews and other means.

● ID foreign language custodians early; test for multiple languages in an email thread - the “Spanglish” issue.

● Determine amount of review set including foreign language documents (in GBs, documents, & pages).

● Research availability, cost and time required for foreign reviewers of non-English documents (for budgeting).

● Develop a foreign document review protocol, including coding for responsive, privilege, PII, redaction, issue coding, and key document identification.



● Estimate costs and timing for key document translation of foreign-language documents to English (for budgeting).

● Prepare a budget for foreign-language review of non-English documents using the above for assumptions.

● Determine methodology of foreign language review and contract with vendors.

● When negotiating ESI orders and case schedules, take into account increased production timelines & deadlines requiring foreign language reviews, if needed.

● Consider if local laws and vendors support transfer of custodian ESI cross-border and related privacy issues. E.g., GDPR.

● When generating search keywords for culling and review, take into account foreign language terms, translations and concept synonyms.



● Select an eDiscovery/document review platform that supports multi-language review.

● Determine support for robust AI-based machine translation option.

● Determine review platform support for a single-record architecture, including the English and non-English versions, with easy navigation between language versions (e.g., tab-ed environment).

● Establish procedure of software capacity on review platform for seamless substitution of a later human translation for an earlier machine translation.

● Check review platform capacity for cross-language search and concept concept search for more accurate search.

The Power of AWS

The Lexbe Solution

● On-Demand Cloud-Based Lexbe equips you with better than Big Law infrastructure for a fraction of the price and resource requirement

- Auto-scales to efficiently meet the exact demands of your case- Lightning-fast- Highly secure- Easily accessed from Internet enabled devices (PCs, Macs, iPhones,

iPads and Android devices)

The Lexbe eDiscovery Platform

The Benefits of the Lexbe / AWS Innovation Relationship

- Continuous Improvement of Your Lexbe Subscription○ Neural Machine Transcription○ The Lowest Prices○ Lightning Fast and Unlimited Scalability

- New Advanced Services○ Neural Network Translation (Translation 2.0)○ Advanced AI Features

Native Characters

Translated Characters

All Characters From Native Files are Extracted and Included in the Uber Index.

All OCR Characters are Extracted and Included in the Uber Index.

All Images are OCR’d, Characters Extracted and Included in the Uber Index.

Lexbe’s Translation Engine Feeds the Uber Index All Translated Characters

OCR Characters

Image OCR Characters

Four Critical Data Sources Feed the Lexbe Uber IndexSM Resulting in the Industry’s Most Complete Index and Search Platform.

eDiscovery Innovations

Equipping You with Powerful Technology that is Simple to Use

Simple to Use / Feature Rich

NearDup Groupings Technology Assisted ReviewEmail Threading & Analysis

AI Powered Transcription Non-Email Communications

Expert Support

The Lexbe Solution

● Support Staff

○ Lexbe empowers firms without large litigation support departments to instantly increase their discovery and review capacities.

○ ACEDs certified professional services team.

○ Our 24 hour ticket system allows you to submit an IT issue to our support department.

Thank You for Attending


We’ll be making the following available to webinar attendees:

● A recorded streaming version● MP3 podcast● PDF

Please let us know if you have any questions or comments about this webinar or suggestions for future topics. This webinar is part of the Lexbe eDiscovery Webinar Series. For notices of future live and on-Demand webinars as part of this series please email us at [email protected] or Follow us on LinkedIN.

Moderator:

Presenter:

Jeff [email protected](512) 653-8295

Gene [email protected](512)686-3382

Webinar Questions: [email protected]

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Integrated Foreign Language Document Review - Lexbe€¦ · Lexbe eDiscovery Webinar Series For...

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