e-discovery future trends

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  • 7/29/2019 E-Discovery Future Trends

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    Caseopea

    The Future ofContent

    Search & Discovery

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    Discovery - the pre-trial phase in which each party can request andsubpoena documents and other evidence from other parties

    e-Discovery Discovery of documents in electronic form - ESI(Electronically Stored Information)

    e-Discovery was officially enforced fall 2006 through several amendmentsto Federal Rules of Civil Procedures (FCRP - 2006)

    The Arena

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    Searching, reviewing and analyzing admissible content

    Content subjected to Discovery is growing in volume and complexity

    Millions of documents - mainly emails

    Hundreds of gigabytes - terabytes of data

    Diverse sources and forms:documents, memos, email, chats, spreadsheets, databases, web pages

    Dispersed context need to analyze multiple documents in a shared and

    unfolding context.

    Highly casual and temporal media (emails, chats)

    The Scene

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    Sky-rocketing costs (An average commercial case can cost $10-20 million)

    Significant fear factor extreme costs of errors. Low accuracy = high risk(Courts can be very unforgiving, imposing fines of $10s of millions)

    Prolonged disruptive processes(3-6 Months of major disruption to daily operations)

    Enterprises are forced to settle unfavorably just to avoid costs

    Automation is the only practical solution

    The process of producing admissible material has becomeintractable

    The Pain

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    $12 billionOverall Expenditureon e-Discovery litigation support in 2007 up 23% from $9.7 billion in 2006.Expected growth well over 20% for the next 2-3 years (IDC)

    $3 billion Spent on Software & Servicesin2007(Socha-Gelbmann). Estimated to exceed$4 billion in 2009. Forrester predicts$4.8 billion by 2011

    $10-15 millionAverage costofReview & Analysisin commercial cases.

    $10 millionper case Charged on average by e-Discovery outsourcing service providers.

    Automatic clustering tools charge $10,000-$30,000 per gigabyte of scanned data

    $250,000minimum tag price for enterprise tools licenses pricing climbs to over $millionfor top marketplatforms.

    A lucrative and fast growing market

    The Market

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    Document

    ManagementSystem

    Submission

    1,000,.. TB 2TB15GB

    1/2 Mil Pages

    50GB

    500K Pages

    (Hosting Selection)

    $50,000 for Year $15,000 $6-8 Million

    The e-Discovery value chain Caseopea Analyzer

    Collection andIdentification

    Pre processing Review andanalysis

    Production

    Volume

    Cost

    The Opportunity

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    Review & Analysis accounts for 80%-90% of e-Discovery cost

    Better automation can save 60%-80% of cost - average saving of$3-5 millions per case

    The Opportunity

    e-Discovery is considered as the forefront of enterprise mail search -a market that is growing at even a greater pace.

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    There is a dire need for a better solution

    Army of reviewers expensive, slow, error proneA vast coordination problem: a highly iterative, repetitive process requiring continuoussharing of discovered facts

    Existing search tools (keywords, boolean operators) provide limited support(Stocks AND (Shares OR Options) AND (NOT OR Warrants ?#!#!$& ..)

    Current filtering techniques still generate around 70% of irrelevant content

    Existing analysis tools (clustering, classification), leave too much for manual analysisComplex visual maps of repeating textual patterns provide little insight into real content

    Current Solutions

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    Staff warning about dubious financial loans

    email X: We argued with Paul about extending Sprouts Corps credit, Liz expressed her reservations

    email Y: Sprouts request for another grace period got me really worried

    email Z: Accounting are concerned about Sprouts ability to pay back its creditors.

    email X: I lent Mary my laptop

    email Z: I wished she would listen to my warnings about taking the office holiday loan

    Searching an email collection for:

    Caseopea will find:

    Caseopea will filter out:

    The Meaning Beyond the Words

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    Dramatically reduces e-Discovery costs

    Facilitates effective knowledge and sharing

    Significantly speeds up the e-Discovery process

    Minimizes errors

    Facilitates effective exploration / investigation of opponents material

    Capturing the meaning beyond words

    Caseopea

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    Truly comprehends text - Combines linguistics, semantics, and common sense.

    Analyzes documents progressively - from start to end (much like humans do)Analyzes content across multiple passages and documents

    Understands free language queries (including full passages)

    Extracts events and facts

    Incorporates meta data (time,location, identity) into content analysis

    Supports fully federated search & analysis for expert users (workflows, rules, logic, history)

    Easily customizable (easy expansion with case-specific knowledge)

    A functional drilldown

    Caseopea

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    Document ManagementSystems

    Autonomy, ,AXS, Guidance, HP, IBM,LexisNexis,Microsoft, Symantec

    Collection, Preservation tools Autonomy, AXS, Guidance, Fios, FTI, Isys, Symantec

    Analysis and Review tools Attenex, Autonomy, AXS, Clearwell, CT-Summation,LexisNexis, FTI, MetaLincs, Recommind, Symantec

    Review and Productionservice providers

    Autonomy, Case Central, Fios, Guidance, H5, LexisNexis,KPMG, Kroll Ontrack, Stratify

    Overall service providersservice provider

    Autonomy, EED Inc,FTI,Guidance,LexisNexis,KPMG,Kroll Ontrack, Stratify

    Review platforms are geared towards production of discovery material,

    Analyzing your opponents material is even harder!

    [Competitors] [Competitors and Potential Partners] [Potential Partners]

    Market Landscape

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    Attenex Autonomy Zantaz Clearwell Lexis Nexis CaseopeaMain analysis capability Clustering Indexing Clustering Indexing Full Text

    Understanding

    Find all relevantcontent (Recall).

    M M M L H

    Find only relevant

    content (Precision).L+ L+ L L- H

    Query Capabilities Nouns / Idioms Nouns / Idioms Boolean Boolean Full passages

    Fact Extraction no no no no H

    Event Extraction no no no no H

    Customization L+ M L L H

    Knowledge Sharing LM M LM M HCase Exploration L L+ no L H

    Speed H H L M LM

    Ease of Setup H L- H L- H

    Competitive Advantage

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    On Site - Search, Review and Analysis platform (site license) Add-on to document management systems Search (Guided, Unguided)

    Extraction / Tagging Monitoring Evidence discovery in responsive content Services (Consulting, Integration)

    SAAS (pay per case / volume)

    Independent Review & Analysis service Co-operation with established outsourcing service providers revenuesharing

    Support for currently uncovered market niche, review & analysis ofopponents EDD material (suing parties)

    Business Model

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    July 2007 Autonomy acquired Zantaz for $375 million.

    November 2007IronMountainacquiredStratify for$158 million.

    December 2007SeagateacquiredMetaLincsfor$80 million.

    June 2008FTI Consulting acquiredAttenexfor$90 million.

    July 2008 InterwovenacquiredDiscovery Mining inc for$60 million.

    August 2008Edmond Scientific Co (ESC) acquiredAccess Litigations foranundisclosed amount (estimated at $50-60 million).

    Recent Acquisitions

    Technology providers are hot targets for M&A

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    Semantic Web Search(TTM 3-4 years)

    Generic email Search (Enterprise and Consumers)(TTM 2-3 years)

    e-Discovery(TTM - 1 year)

    Strategic Evolution

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    Taming

    e-Discovery

    Thanks for your time

    Caseopea

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    Extracted from the 2008 Socha-Gelbmann Survey

    Market Size

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    Software & Services revenues

    Market Size

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    100 Gigabyte data - 1.5 millions documents

    Attorney review capacity (unassisted) 10-30 documents p/h, rate per hour $200

    Hours needed for review 50,000 total cost $10 million

    Conventional review and analysis tools reduce time and costs by 20% - saving $2 million.Saving achieved through basic filtering and customized review tools (reducing the number of documentsfor review and facilitating a more convenient manual review)

    Current filtering technology still leaves reviewers with an average of70% irrelevant data.

    Higher and better automationcan achieve 60%-80% saving

    (achieved through intelligent search, deep culling and case-base content extraction)

    (Courtesy of a leading Review & Analysis tools vendor)

    A Typical Showcase