Role of translation software in e-discovery, compliance and big data
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1) Machine translation is playing an increasingly important role in e-discovery, compliance, and analyzing large amounts of data due to the rapid growth of multilingual data. 2) The amount of data in the world is growing exponentially and will reach 45 zettabytes by 2020, making manual translation of all that data impossible. 3) For e-discovery cases, machine translation can help review large volumes of documents more quickly and cost-effectively compared to traditional translation methods, allowing documents to be reviewed in English.
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Role of translation software in e-discovery, compliance and big data
- 1. The growing role of translation software in e-discovery, compliance, and big data John Tinsley CEO, Iconic Translation Machines eDiscovery Ireland. Dublin. 17th November 2017
- 2. 80% of all litigation will be multilingual by 2020
- 3. Data Explosion 0 5 10 15 20 25 30 35 40 45 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Data in zettabytes (ZB) We are here Data is growing at a 40% compound annual rate Nearly 45 zettabytes (ZB) by 2020 That’s 45 billion terabytes Source: Craig Ball, https://ballinyourcourt.wordpress.com/
- 4. • What? – Translation and Language Technology Software and Solutions provider • Where? – Dublin, Ireland. Operating globally. • Who? – Information providers, Government organisations, Enterprises Introducing: Iconic Translation Machines www.iconictranslation.com/ediscovery
- 5. Snapshot of Iconic partners and users www.iconictranslation.com/ediscovery
- 6. • History – started in the late ‘40s w/ US gov funding • How it works – learns from previous examples of translation • Why it’s hard – languages are complex! • Hard languages – not all languages are equal (more on this later) • State of the art – Neural Machine Translation Machine Translation in 60 seconds 60 www.iconictranslation.com/ediscovery
- 7. The Ensemble ArchitectureTM Innovative, state-of-art, proprietary architecture Chinese pre-ordering rules Statistical Post-editing Input Output Training Data Spanish place name recognizer Multi-output Combination Korean email detection Language Identification Client terminology Japanese writing normalisation German Compounding rules Statistical Machine Translation Neural MT File Format Handler Document Parser More info: http://iconictranslation.com/machine-translation/ensemble_architecture/
- 8. Incidental • things that comes up from time to time, low volumes • mix of languages • snippets of text, single documents, emails Translation and e-discovery When does the need for translation arise? Projects / Cases • known quantity based on a project, e.g. case, M&A, etc. • one or two languages only • large volumes of files, all formats www.iconictranslation.com/ediscovery
- 9. Goal: identify relevant/privileged documents 1. Do nothing... 2. Look internally – can anyone in the firm help with review/translation 3. Look externally – contract Italian reviewers 4. Translate the documents – review in English What are your options? A case comes into the firm and the documents contain around 300 emails in Italian www.iconictranslation.com/ediscovery
- 10. Options: Pros & Cons Option Pros Cons Look internally Quick, effective - Doesn’t scale. - Availability not guaranteed - Low coverage Contract Reviewers Effective ++ - Expensive - Slow - QA is a challenge Translation Effective + - Very slow (3-step) - procure translation - translate - review still to do - Expensive - Doesn’t scale www.iconictranslation.com/ediscovery
- 11. Most Effective. Most Expensive. Necessary? 0 5 10 15 20 25 30 35 Associate Reviewer English Speaking Attorneys (Contract) English Speaking Attorneys (Internal) Foreign Speaking Attorneys (Contract) Foreign Speaking Attorneys (Internal) Human Translators Paralegal Reviewers Breakdown of document review costs Source: https://www.iltanet.org/blogs/pete-afrasiabi/2017/01/19/finding-the-needle-in-the-digital-multilingual-haystack
- 12. Option Pros Cons Look internally Quick, effective - Doesn’t scale. - Availability not guaranteed - Low coverage Contract Reviewers Effective ++ - Expensive - Slow - QA is a challenge Translation Effective + - Very slow (3-step) - procure translation - translate - review still to do - Expensive - Doesn’t scale Options: Pros & Cons We’re implying “human” translation here, but there are more options than that www.iconictranslation.com/ediscovery
- 13. First, let’s move the goalposts A case comes into the firm and the documents contain around 30,000 emails in Italian www.iconictranslation.com/ediscovery
- 14. Translation Options: Pros & Cons Option Pros Cons Human - Best quality - Very slow - Expensive - Doesn’t scale Online MT - Quick - Cheap - Security - Quality - Limitations (integration/files) Professional MT - Quick - Cost Effective - Secure - Flexible - Quality? Professional human translation “Free” online machine translation Professional machine translation www.iconictranslation.com/ediscovery
- 15. Not an exercise in perfection An exercise in establishing a legally defensible position - Eoghan Kenny, Senior Manager Discovery at A&L Goodbody
- 16. • Defining performance based on “usability” – relevant or not? Machine Translation misconceptions! “It’s rubbish” 90% effectiveness ….it’s not! • Some fluctuation across languages French German Turkish Finnish Spanish Chinese Korean Hungarian Portuguese Japanese Thai Basque
- 17. • Using free online tools? That’s not secure! Machine Translation misconceptions! “It’s not secure” ….it is! (in most cases) • Professional machine translation – private cloud services can rigorously control where data goes, protected by state-of-the-art security protocols • Worst case, bring it in-house
- 18. • Using free online tools? That’s not secure! Machine Translation misconceptions! Iconic data centre locations on AWS • Professional machine translation – private cloud services can rigorously control where data goes, protected by state-of-the-art security protocols • Worst case, bring it in-house
- 19. Making things more practical File Formats Language Identification Workflow Integration -MS Office -PDFs -EML/MSG -Audio -Pre-detect -Multilingual threads - -Review platform connectors -API www.iconictranslation.com/ediscovery Features introduced to cover as many bases as possible
- 21. Afrikaans Arabic Bosnian (Latin) Bulgarian Cantonese (Traditional) Catalan Chinese Simplified Chinese Traditional Croatian Czech Danish Dutch English Estonian Fijian Supported languages 21 Filipino Finnish French German Greek Haitian Creole Hebrew Hindi Hungarian Indonesian Italian Japanese Kiswahili Korean Latvian Lithuanian Malagasy Malay Maltese Norwegian Persian Polish Portuguese Romanian Russian Samoan Serbian (Cyrillic) Serbian (Latin) Slovak Slovenian Spanish Swedish Tahitian Thai Tongan Turkish Ukrainian Urdu Vietnamese Welsh All languages listed below are available for translation into and out of each other www.iconictranslation.com/ediscovery
- 22. • Costs based on the amount of data translated – pages – GB – words • Covers all languages Translation software – cost models www.iconictranslation.com/ediscovery • Standard software license – based on the number of languages required – incl. support • Unlimited usage annually Cloud Model On-premise Model • Translations as a managed service • Customization and development Professional Services
- 23. Case Studies
- 24. Case Study: Machine translation in the loop Law Firm eDiscovery FirmLitigation foreign 60,000 docs Review Team MT deployed on-site Docs MT’ed and reviewed Key docs human translated www.iconictranslation.com/ediscovery
- 25. Other use cases Intellectual Property Patent searching foreign documents to establish novelty, freedom to operate, etc.
- 26. Other use cases Customer Support Live multilingual support/chat Online help content
- 27. Other use cases Regulatory Compliance Monitoring activity across global orgs to ensure compliance
- 29. Solutions need to be flexible because your variables are many languages | file types | review platform | case requirements Machine translation is in the tech stack and here to say It’s often the only practical option It’s often the best option! Globalisation – translation demand is only going to grow The technology only going to get better In summary www.iconictranslation.com/ediscovery
Notes de l'éditeur
- Ireland demogrpahics Language changing Multilnationals in Ireland – emplyoee demographics EU cases – number of languages
- The fast that we’re in Ireland and we’re English speaking doesn’t matter anymore… Borders are fluid when it comes to business and staffing (though it remains to be seen what happens with our next-door neighbours)
- https://ballinyourcourt.wordpress.com/
- MT solutions and services provider, specializing in providing customised solutions with subject matter expertise for specific techincal sectors, such as Patents/IP, life sciences, and financial. We are the MT partner of choice for some of the world’s largest translation companies, information providers, and government and enterprise organisations. For Translation Companies: We help translation companies to translate more content, more accurately for faster project turnaround, resulting in significant cost savings and increased revenue. For Enterprise Clients: We help enterprises to translate more content in less time, resulting in faster products to market and enhanced global reach. For Information Providers: We help information providers to translate knowledge, literature and documentary information faster and more accurately, resulting in broader knowledge offerings and faster time to market.
- Range of different use cases for machine translation – you’d be surprised how pervasive it is. But for the native english speakers in the audience, you’re probably not exposed as much. These guys all have something in common – they’re involved in litigation and compliance! No one is immune In the course of working with us – questions kept arising about being able to support some case that was on their plate
- Could do 60 minutes but I don’t think Adrian would be happy! Started in the US in the 40’s with focus on Russian, writing rules and dictionaries, grew from there Now it uses clever approaches to learn from previous examples of translations, same as a human “I’ve seen this before…” Can’t see everything! Also, no such thing as a correct translations, language is always evolving. The more static – the easier The closer two languages are, the easier, Spanish-Italian dead easy, Spanish to English, German to English, Korean to English Now, like most things, artificial intelligence and neural networks (Neural MT) are the hot topic and have legitimately caused a signifncat leap forward How do you use it? Online MT, Open-source, customised, industry specific... we’ll get into that but there we have 60 seconds.
- We don’t just do statistical, rule-based, or hybrid. We have a proprietary technology that combines the best of all approaches.
- As Eoghan said we can’t assume this is not a thing in Ireland any more. QUICK POLL: who has never had to deal with foreign language documents? I’m dying for more information here so if you have other instances, cases, please let me know!
- Do nothing (not what you should do, but it’s all you can do…) See if someone in the company/firm speaks the language send an email around, as them to help with review/translation Hire contract reviewers bilingual in English-(Foreign) review in foreign language (with in-house support?) Translate the documents review in English
- Your friend isn’t that good, no way to validate quality contract reviewer = lawyer in the country
- From a survey of use firms… Biggest costs come from having to contract out review in foreign language, rates are higher
- We’re going to focus on Translation. Those cons apply to “human translation” but we have more options than that. This is where the technology comes into play…
- Let’s also move the goal-posts a little bit, say we’re now dealing with 30,000 emails from the Italian which puts a different complexion on things…
- HT = gilding the lily Did you really need a high quality professional translation to be able to say that a doc was 100% no where near relevant? No! Overkill Need a pre-filtering step, that’s MT
- This is not an exerise in perfection at this stage Exercise in legally defensible position MT -> keyword -> identify important -> give both languages -> that’s defensible and saves money
- Some common misconceptions It’s as good as it’s ever been, and only getting better. In fact, we’re in the middle of a paradigm shift
- Types of things that we’re doing We’re aware that MT is a detour so we want to make that detour as seamless as possible
- Our relativity integration
- The fast that we’re in Ireland and we’re English speaking doesn’t matter anymore… Borders are fluid when it comes to business and staffing (though it remains to be seen what happens with our next-door neighbours)
- These guys all have something in common – they’re involved in litigation and compliance! No one is immune In the course of working with us – questions kept arising about being able to support some case that was on their plate
- These guys all have something in common – they’re involved in litigation and compliance! No one is immune In the course of working with us – questions kept arising about being able to support some case that was on their plate
- These guys all have something in common – they’re involved in litigation and compliance! No one is immune In the course of working with us – questions kept arising about being able to support some case that was on their plate
- In many of those cases, translation is an enabler, it allows companies to grow their business. While the same can be true in Discovery, typically is more of a road block! We know where we fit!
- At this point, I’d like to invite questions so I’ll leave a few minutes to enter them in the chat box here in the webinar software. In the meantime, we already have a few so let’s start with those multilingual language indentification where does