FreeEed presentation

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Information about FreeEed presentation

Published on April 14, 2014

Author: markkerzner

Source: slideshare.net

+ Hadoop-based Open Source eDiscovery: FreeEed (Easy as popcorn)

+ Business (legal) use case 2 • Duty to disclose information – rule FRCP 26 • Preserve relevant information • Produce information on request • Keep the information for X years • Sanctions for obstruction • Sanctions for non-compliance

+ Before the thirties 3 • Court room was full of surprises

+ Civil discovery changes this 4

+ Discovery basics 5 • Obligations of the parties • At the start of a lawsuit or litigation possibility, preserve relevant data • Produce data at request, within timelines • Review the data before production • Can request eDiscovery from opponents • Store and archive

+ Interesting facts about eDiscovery 6 • Most of these are proprietary or under NDA • Representative case size: 5GB to 500GB • Cost per GB of processing: $5-200, ~$100 • Takes 25-50% of litigation budget • Days to process and months to review • Preservation: 3-7 years • 500 providers, with 10 majors

+ Challenges of eDiscovery 7 • Data sizes in the TB • Seasonal loads, tight deadlines • Hundreds of file formats • Heavy read/write load in review • Text analytics is of paramount importance • Huge price tickets obstruct justice

+ FreeEed main features 8 • Open source Hadoop-based eDiscovery: • As scalable as Hadoop • Fast review with NoSQL • Scales with the lawsuit - time and volume • Data preservation and archiving with VM • Only possible with open source license

+ Design goals 9 • Built on open source components • Big Data scalable • Preservation, chain of custody, archiving • Scalable technically and business-ly • Stable (don’t laugh, people get different results on different runs) • Close-source compatible (MS + Azure too)

+ Packaging architecture 10 • Comes as VM’s • Grab as few or as many as you want • No mixing of matters • No ethical problems • Preserve for as many years as you want • 1 VM = 1 corn, FreeEed = free popcorn

+ FreeEed makes lawyers happy 11

+ FreeEed : Architecture 12

+ FreeEed popcorn is very popular with lawyers, legal techs, IT, etc.

+ FreeEed popcorn 14 • Deploy on laptops, servers or cloud • One-node or any number of nodes • Scalable storage • Different cooking recipes • No mixing of matters • Easy archiving • Easy deletion

+ Processing architecture 15 • Based on golden-image VM • Controlled cluster start in any environment • Index / cull on the fly or later • Immediately searchable

+ Cluster start-up on EC2 16

+ Cloud integration  Downloadable VM’s  Same VM’s on Amazon AWS  Amazon VM’s are very convenient  Immediate deployment  Any hardware configuration you need  Control lots of power from a limited-power laptop  Azure – working with Microsoft 17

+ Review architecture 18 • Lucene • Solr • HBase • Lucene indexes created in reducers and combined in Solr • For small matters, write directly to Solr

+ Review screen 19

+ Review capabilities 20 • Search • Cull down • View text and metadata • Tag documents • Export as images or as native files

+ Eagle eye’s view - EDRM 21

+ Left of EDRM – Legal Hold 22 • FreeEedCollect • Architecture: https://github.com/markkerzner/FreeEedC ollect • ZooKeeper/MapReduce/Flume/HDFS

+ Right of EDRM – Org. charts 23 Partnership with Sintelix

+ Analytics – network of actors 24 Partnership with Sintelix

+ FreeEed and data governance 25 • Virtualization for data preservation • Scalable processing • Archiving • Documents groups not mixing • Data format stored together with software that understands it

+ Hadoop & Big Data applications 26 • Other related applications • Financial – text analytics • Energy – documents and procedures analytics • Actual on-going projects

+ FreeEed as a learning tool 27 • 100’s of downloads • Dozens of active users • Real-world Hadoop application • Many developers download to learn • Complex, real, but manageable

+ FreeEed adoption – who is trying our “popcorn”? 28 • Large law firms • Small law firms and solos • Government agencies • Universities • Enterprises • Developers learn Big Data

+ Looking forward 29 • Add • Collection • Analytics • Community • Integrations • Implementations

+ How you can use FreeEed 30 • For its intended purpose • Large law firms • Small firms and solos, • Pro-se • Integrate in the IT legal • Start a similar document management project

+ How you can use FreeEed 31 • For its intended purpose • Large law firms • Small firms and solos, • Pro-se • Integrate in the IT legal • Start a similar document management project

+ Q&A 32 • Thank you! • People usually ask: • How can I put my data in the cloud? • Is it safe? • Do you do OCR, PST, OST, etc…?

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