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Building a Data Center without Walls: Intelligent Networking for Litigation Support

A very good article by Jim Morin dated 4/12/12, Building a Data Center without Walls_ The Need for Intelligent Networking — Enterprise Systems, with implications for Litigation Support and IT.

The article concludes that in order for cloud operation to provide on-demand, elastic, and measureable services (requirements necessary for litigation support to deliver services), will require new workload orchestration software. On-demand networking has been discussed for more than 10 years but has been difficult for carriers to deploy due to legacy billing and operations software. With the very nature of cloud services being on demand, service providers understand that the network will need to also have this operating characteristic, not just for bandwidth capacity but also for performance assurance.

Future data center architectures will federate everything — networks, applications, and physical locations. The resulting “Data Center without Walls” operating model for litigation support will give IT tremendous operational flexibility and agility to better respond and support business initiatives by transparently using both in-house and cloud-based resources. This virtual data center, connected with an intelligent network, will become a key piece of Litigation Support cloud strategy as enterprise looks to take advantage of the new opportunities cloud computing brings.

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Evaluating Litigation Support Storage and Architecture

In 2011, according to an IDC research poll, over 1.8 zettabytes (1.8 trillion gigabytes) of information was created and replicated.  Almost eighty percent of the information transmitted across law firm servers today is litigation related.

With so much data being created and replicated within the law firm environment for litigation related matters it is time to tame the tiger and institute governance over litigation support data.  Governing litigation support data will necessarily mean evaluating storage and architecture, information organization and connectivity, security and policy.

Consider these questions to determine the best storage system and architecture for litigation support:

  • Does your litigation support center process electronically stored information (ESI)?
  • If processing inhouse, what ESI types are processed, how much quantity, and with technologies?
  • Should a new storage system and architecture be considered?
  • If a new system is contemplated, then should litigation support be moved to a co-lo facility?
  • Should more storage be added to an existing system?
  • Is it possible to re-mediate storage to recover space rather than adding more storage?
  • Will it be necessary to re-mediate litigation support data in order to move to a new system?

Understanding the three primary storage technologies DAS, NAS, and SAN and their architecture

Data is unquestionably the lifeline in today’s digital organization; this is true for the legal organization (particularly litigation support).  Storage solutions remain a top priority in IT budgets precisely because the integrity, availability and protect of data are vital to business productivity and success.  Litigation support is the largest consumer of storage in a law firm environment.

Several storage options exist today to support various needs of the small, medium and enterprise level business.  The three primary options are:

Direct Attached Storage (DAS)

Direct Attached Storage (DAS) as the name suggests involves the direct connection of services to storage.  This can either be with the use of an internal server disk controller with either internal or external drivers, or with a completely external storage subsystem that includes the controller and disk.  The main characteristic of DAS is that the storage connection from the server to the storage is hard-connected.  This connection is typically through a direct SCSI cabled connection.

Network Attached Storage (NAS)

Network Attached Storage (NAS) is the storage attached to the network – the common Ethernet network.  A NAS is essentially a file server storage that often integrates an optimized operating system dedicated to file sharing.  Optimized OS means designed to serve files to multi-protocal and multi-platforms.  All the processing is done locally on the NAS whereas client only demands it.  This is basically a cooked system – it can be used out of the box.  One major difference with NAS is that it provides file-level I/O via traditional CIFS and NFS network file shares, while DAS and SAN provide block-level I/O.  NAS devices are fairly easy to implement and offer storage consideration and file sharing of data over a standard Ethernet network.

Storage Area Network (SAN)

Storage Area Network (SAN) are the back-end storage networks that connect multiple hosts through a switched fabric such as Fibre Channel of iSCSI.  A SAN provides flexibility for “carving” out storage for multiple servers where the servers can be spread out across a data center.  A typical SAN is configured with multiple switches and multiple server Host Bus Adapters (HBA) to create a high-availability storage configuration and various RAID solutions are used to protect data at the disk level.   Buidling a SAN is more expensive than DAS or NAS and requires expertise with specific hardware and software used to configure the SAN.  A SAN should be considered when supporting many servers as part of an overall data center storage design concept.  The real strength of a SAN is that storage can be assigned and later reassigned as needed to support the changing needs of specific servers.  This results in the efficient use of storage and minimizes unused storage capacity for a given server.  SAN allows for better resource capacity utilization by sharing server growth space.  SAN also allow servers to boot directly from the SAN.  This allows new servers to access LUNs on faulty servers, thereby restoring system functionality without losing data.

Best Model for Litigation Support may be Architecture of Fibre Channel SAN, Server Attached Storage, Database Block Access Model for Primary Activities

In a Fibre Channel SAN there is a low latency and high performance characteristics of the traditional proven model b’cos of the dedicated I/O network.  This is a huge benefit in litigation support with so many transactions per day.  You also have the flexibility of a networking solution with distance, sharing and multiple-host connectivity.  Again, three important features for today’s scalable litigation support infrastructure.

 

Advantages of SAN for Primary Litigation Support Services

1  Storage sharing among two or more host systems is possible.

2  Storage can be physically located further away from host systems.

3  Storage can be brought on-line and reconfigured dynamically.

4  Backups can be simplified.

5  It is possible to expand and add more positives.

6  Workload is off-loaded from LAN networks.

7  Postpone or delay updates and improve performance of LANs.

8  No extra steps involved in performing I/O to reduce latency.

9  Full redundant hardware RAID with mirrored cache.

10 Integration with volume managers and other storage utilities is possible.

11 Support for RAW volumes for Oracle and other applications.

12 Dynamic storage allocation and expansion can be done.

13 Variable I/O size, RAID levels and other performance enhancement tools available.

14 Hardware RAID offloads server from RAID operations and disk drive rebuilds.

 

Four Key Requirements for Litigation Support Storage and Architecture

To effectively support required litigation support work spaces these four requirements should be considered:

  • Consolidate data onto a single platform that combines file-level control with block-level functionality
  • Maximize disk resources for unified storage by separating allocation from utilization with thin provisioning
  • Ensure file and block data is always in tune with application needs with automated tier storage
  • Streamline data backup and recovery with space-efficient Replays (continuous snapshots) and thin replication

 

Required Litigation Support Workspaces

Litigation support will require several work spaces to deliver its services.  The following spaces should be considered and architected across the storage environment to deliver the best quality service for users of litigation support and the unit itself.  The three major work spaces include:

1  Preservation – original client evidence, compressed and password protected, should be maintained in pristine (unspoliated) condition;

2  Work in Progress – working copy data of pristine evidence/information may be manipulated, analyzed or “processed”;

3  Results Work Area – results area is where customer/client uses information, or may create additional content themselves

 

 

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Judge Calls Company’s eDiscovery Policies “Clearly Unacceptable”, Orders Further Depositions

We saw this post at http://it-lex.org/judge-calls-companys-ediscovery-policies-clearly-unacceptable-orders-further-depositions/, and felt compelled to repeat it here (again).

The factual specifics of Scentsy, Inc. v. B.R. Chase, LLC are relatively unimportant, but a recent order [PDF] addresses eDiscovery concerns and reiterates a point that has been made on this site countless times before. Co-defendant Harmony Brands, LLC claimed that plaintiffs had failed to produce enough key documents, and alleged that this was due to an insufficient litigation hold policy. When your opposing counsel is suggesting that your eDiscovery procedures are lacking, it’s probably worth listening. Accordingly, prior to this hearing, Harmony asked

the Court to compel Scentsy to conduct a forensic exam of its own computer systems at its own expense to retrieve any deleted discoverable data, or to order other appropriate sanctions.

The Court makes the point that timing is a key consideration when talking about spoliation, and observes that the dates and the time-frames here at a little unclear as to when litigation was reasonably foreseeable and when particular documents were deleted. The rule for sanctions is that

a court may not impose sanctions… on a party for failing to provide electronically stored information lost as a result of the routine, good-faith operation of an electronic information system

and so there has to be a finding of bad faith from Scentsy before any sanctions can be imposed. Speaking about the apparent state of Scentsy’s policies:

Generally not deleting documents, and orally requesting certain employees to preserve relevant documents concurrently with filing a lawsuit, is completely inadequate. It is very risky – to such an extent that it borders on recklessness.

Though speaking “generally”, that comment seemed fairly particular to this party. To make that point clearer, the Court declared that

Scentsy’s document retention and litigation hold policies are clearly unacceptable.

Ultimately, the Order allowed Harmony to depose Scentsy employees on the particular subject of whether documents were destroyed. The Court withheld sanctions in this Order, but suggested that, depending on what comes up in these depositions, the window would be open in the future. An adverse inference at trial, or the dismissal of some of Scentsy’s counterclaims are possible sanctions to look out for as this case progresses.

We’ve said before and we’ll say it again: Have a solid policy. Review that policy. Don’t let yourself be open to this kind of challenge. Keep those steps in mind and you’re a lot less likely to get called out by a judge like this.

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Intelligent Reuse of Data in Serial or Multi-Matter Litigation

Eleventh Hour spotted a rising trend that may soon impact Employment Termination/Disputes; Insurance Claims; Intellectual Property/Trade Disputes; Third Party Requests; Product Liability and other litigation practices.  Legal organizations continue to search for new ways to further curb costs of ediscovery and combat exponential increase in information creation and replication.

Some legal organizations are beginning to examine reuse of matter-related data.  This effort will impact legal, IT, records and litigation support.

Several key drivers pushing review of how to reuse information in multiple related matters:

  1. Average preservation life of legal hold data has increased to more than 2 years;
  2. 14% increase in matters with 500 to terabyte of data;
  3. By 2015, 20% of information will be touched by the cloud;
  4. Same custodians on legal hold in more than one matter; and
  5. Increased creation and replication of data across network systems (i.e., legacy data)
Objective is to Leverage Work Products from Similar Matters

For multi-matter eDiscovery and serial litigation the objective is to leverage work products from similar matters through analysis (e.g., key topics, critical players, specific vocabulary and jargon, and highly relevant documents, or common privilege and intellectual property intersections.  This level of information management streamlines the review process with respect to repetitive coding relevance, privilege, intellectual property and confidentiality review.  Production librarying offers systematic cataloging which in turn offers search across previously produced information, and also delivers greater quality control for related matters.

To achieve multi-matter efficiency legal organizations will need to refocus infrastructure and information management toward developing a central evidence repository that can classify, organize, search and maintain information for long periods of time.  This infrastructure will need to be scale-able to accommodate inclusion of multi-related matters, and their various data sets – preservation, working copies, search sets, productions, and backups.

Challenges Ahead for CIO/Litigation Support to Formulate Team and Plan to Address Data ReUse for Serial or Multi-Matter Litigation

CIOs and Litigation Support will be required to assemble and charge a cross-disciplined team with the means to address (1) infrastructure; (2) information management; (3) processes; and (4) technologies to realize a central evidence repository capable of managing multi- related matters.

___________

Eleventh Hour has recently participated in several presentations about serial and multi-matter information management, and is prepared to lead  briefings with top CIOs on this rising trend.  We have been working with clients for more than three years on developing central evidence repositories that streamline data organization by matter.  Now data reuse in that matter management environment is ready to come of age in serial and multi-matter litigations.

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Advocating Use of Central Evidence Repository

Centralization/Virtualization Promote Legacy Data Reuse as Means to Reduce Discovery Costs

Eleventh Hour believes that the current workflow for electronic discovery is not a best practices model and can be improved to benefit the parties to litigation.   For the litigation/investigation matrix, the need to efficiently manage multiple matters and the corresponding e-discovery obligations for each matter can be a challenge for legal teams because the traditional e-discovery process revolves around a single matter.  Each matter requires the IT intensive tasks of collection and processing, the expense of document review and the time pressured stress of delivering exacting productions. And for most corporations this process begins anew with each matter.  But the reality is that the same custodians and information are frequently needed in multiple matters. The unfortunate result is unnecessarily repeating costly steps in the process and an inability to leverage valuable work product and information from one matter to the next.

A much better workflow is for the legal organization is to maintain control of its own electronic documents (ESI) and to incorporate as part of a Central Evidence Repository (CER).  For the legal organization to point “collected” data of the preservation set to the central repository, and then to bring its processing and legal teams and opposing counsel to that data repository.  This will eliminate unnecessary re/distribution and duplication of data.  CER usage will greatly reduce matter discovery costs.  It will foster reuse of already collected custodial data in subsequent or similar matters.  CER usage will foster better legal hold compliance, help protect the corporations’ intellectual property and privilege information, and may be recognized as an elemental step in establishing a defensible process.

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Concerns Grow Over Intellectual Property Release

One of the top five risk categories in the Altimeter report, “Guarding the Social Gates: The Imperative for Social Media Risk Management,” is the release of confidential information/personal data; loss of intellectual property; legal, regulatory or compliance issues; and identity theft/hijacking.

34% said insiders taking intellectual property out of the data network is perceived as the biggest security threat to the  firm. 2012 Am Law Tech Survey

Confidential information/personal data; intellectual property, or identifiable information may reside in:

  • Business Intelligence - research and due diligence focused on legal, regulatory, financial and reputational risk information usually generated by the firm’s businesses and committees
  • Contracts, Technology, Privacy and Intellectual Property - vendor agreements, privacy issues and technology and intellectual property matters
  • Employment – employee-related, benefits and medical information about employees and contingent workers
  • Finance Legal and Corporate Governance - financing, preparation of required legal filings and support of corporate governance practices
  • Management - legal, regulatory, reputational and transactional information regarding corporate operations
  • Litigation and Regulatory – litigation, arbitration, regulatory and other proceedings work product that involve company, its affiliates or their employees, as well as other matters in connection with proceedings in which the corporation is not a party
What Can Be Done to Stop Leakage of Intellectual Property?

The place to start is with developing a repore between Legal, IT and Records.  Together this team should work collectively to address risk, policy, compliance, security, and information value questions.  An action plan may include these basic steps which starts with understanding what data you have and where it lives:

  1. Identify where data lives within the environment.  This starts with preparing an enterprise information identification map that may be used to evaluate meta data, authorship, content and data life.
  2. As a subset of the enterprise information identification process determine which files may contain intellectual property.  This may be done using an enterprise level indexer which generates a searchable index containing metadata and content for all common unstructured files and email. This unified index contains information about data residing on backup tapes, networks and large storage file systems to allow for search, de-dupe and extraction of unique content through a single interface
  3. Determine the data’s value window.  Is this information still important to the organization/business?  Is it the latest version?  Is it necessary to keep prior versions?  Are prior versions missing?  Should related information be consolidated in one location?  How much longer will this information be valuable?
  4. Tie data (whether it contains IP or not) to records management policies and schedules.  If there is no RIM policy, then it may be time to develop one so that it may be regularly applied to manage this information.  This may require engaging Legal, Records Management and IT.
  5. Apply security protocols to data containing IP.  This may require updating security protocols, and coordination between Legal, IT and Records.
  6. Determine if any data is subject to a legal hold/preservation.  Make sure legal hold is properly in place for this data.  Guard data accordingly.  This may require both Legal, Records and IT input to properly address.
  7. Apply RIM policies and schedules to the data.  Where data is under legal hold/preservation RIM policies may need to be suspended.  Information should be scheduled such that there is a mechanism to indicate when legal hold is removed and this information may be put back under RIM disposition scheduling.
  8. In Discovery, institute procedures to evaluate data for intellectual property at key EDRM stages including preservation/legal hold, collection, processing, review and production.  It may be advisable to seek protective orders for this data prior to production.

Repeat these steps regularly as new enterprise data is generated, or is evaluated for discovery purposes.

Indexing technology may be used to effectively define enterprise information for purposes of legal hold and collection.  This type of technology allows organizations to organize enterprise data assets, making them accessible and searchable. As it processes data, a searchable index is generated containing metadata and content for all common unstructured files and email.  This unified index contains information about data residing on backup tapes, networks and large storage file systems to allow for search, de-dupe and extraction of unique content through a single interface.  The resulting road map may be used to effect RIM/information governance or data management/migration projects, or in discovery to implement legal hold or collection management.  See, for example www.indexengines.com.

 

 

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Is Subscription-based eDiscovery Service the Cure-all for Expensive per Gigabyte eDiscovery?

Legal departments at large companies are looking to bring e-discovery in-house, but lack the infrastructure and, in some cases, the personnel and budget to do so. That’s the view of Eleventh Hour, which recently launched its Managed Discovery Service (MDS) consulting effort.  Eleventh Hour brokers relationships between customers and Managed Discovery Service providers, as well as assists with implementation.  The Seattle-based company works with customers to define requirements, issue RFPs and scorecard results, and with implementing MDS services and workflow.  MDS takes aim at expensive per gigabyte pricing by making e-discovery available under a fixed-cost, subscription-based model.  The fixed-cost model offers a lower per matter cost for eDiscovery storage, technology licensing, and in some cases use of operational personnel.

E-discovery involves the identification, collection, and analysis of electronically stored evidence. The 2006 amendments to the Federal Rules of Civil Procedure, which set rules for a civil lawsuit’s discovery phase, helped set the stage for today’s demand for litigation support services. That revision cast a rather wide net, making “electronically stored information” subject to discovery.

Alice Burns, managing director and founder of Eleventh Hour, said corporations seek to cut the cost of relying on outside counsel to handle e-discovery chores. Some companies heavily involved in litigation may tap 20 to 30 law firms, she noted.

Making e-discovery an in-house function cuts expenses and provides more control over the process, Burns said. But assembling the specialized software and personnel to get the job done right can prove beyond the capabilities of corporate legal teams.

Law firms like corporate legal departments often are not well invested in building out the infrastructure, technology and personnel required to address the complexities of e-discovery processing and technology systems support.  In these instances, it is advantageous for the corporate legal department and the law firm to outsource litigation support operations under a subscription model while maintaining the more lucrative and high valued left-side ESI consulting and project management capabilities in-house.

Cloud-based Service Offers Competitive Advantage

Eleventh Hour offers its Managed Discovery Service consulting to both corporate legal departments and law firms interested in moving litigation support operations to the cloud.  Burns noted that recent changes in software licensing models let service providers offer e-discovery as multi-tenant service.  This is a new change in software licensing, and offers a real advantage for law firms or corporations interested in outsourcing litigation support operations – storage, technology and personnel.

Alice Burns said the company is actively working to evaluate and qualify leading e-discovery service providers who are capable of delivering managed discovery services as a subscription model.  One criteria Eleventh Hour uses to separate leading providers is the ability to offer MDS as a hosted solution from a SAS 70 Type II compliant facility.

Eleventh Hour’s initiative provides yet another sign that the legal vertical will adopt managed services as a way to trim expenses. Law firms and legal departments have been snapping up managed services in such areas as email and marketing.  Look for cutting edge corporate legal departments and their law firms to move litigation support to the cloud throughout 2013.  This move should fuel the growth in Analyst, Project Manager, and Systems Engineer/Administrator jobs with MDS vendors.  While operations moves out,  corporate legal departments and law firms will keep more high valued, left-side EDRM consulting, including process architecting and legal project management, in-house.

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Ten-point RFP Checklist for Managed Discovery Services or Data Center Consolidation for Lit Support

Paving the path to the next generation data center with technology led solutions, Eleventh Hour, recently announced a 10-point checklist every law firm should incorporate into their decision making process when considering vendors for Managed Discovery Services or data center consolidation for litigation support data. With technology refreshes accelerating and enterprise storage upgrades a major component of these initiatives, it is critical that these operations be planned and executed properly by selecting the appropriate partners, technologies and production-proven processes in accordance with business requirements.

Central to the success of any storage migration project is an operationally relevant Request for Proposal (RFP). Most importantly, an RFP written correctly is a tool that can be used to thoroughly evaluate potential partners, eventually settling on the vendor that will bring the right levels of expertise, efficiency, and cost-effectiveness to the project. And, from a vendor perspective, it provides a detailed view of the project to make it possible to deliver accurate project proposals and pricing estimates. A well-constructed RFP is a critical planning tool because it lays out important details of the project, providing the enterprise and its eventual partner(s) with a blueprint to reference through the various stages of project planning and execution.

Ten-Point Checklist for Evaluating Managed Discovery Services

One – Configure the right team

Two – Ask potential vendors for the information that will paint the clearest possible picture of their capabilities. Information will be needed on:

  • Corporation – Financials, Management, Operations
  • Capabilities
  • Capacity
  • Quality assurance
  • Workflow plan
  • Project management
  • Detailed cost estimate
  • References
  • Recommendations for project improvement

Three – Provide instructions for formatting responses, including sample text

Four – Choose the right potential partners

Five – Build in enough response time

Six – Use uniform evaluation criteria

Seven – Be available to answer questions

Eight – Narrow the field

Nine – Build a testing stage

Ten – Communicate with all respondents about your decision

 

 

 

 

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Big Data Challenges – Retention Policies Should Address Value Window

The challenges with Big Data is the data itself, rather than technology.  The single biggest challenge is data retention.  An anecdotal quote repeated recently is that 80% of a federal agency’s effort with Big Data is in extracting, moving, cleansing, and preparing data—not in actually analyzing the data.

With budgets as tight as they are for both agencies and corporations, they are going to be focused on how soon they can see some value or ROI from a Big Data effort.  Project teams want to be sure that they are addressing the issue of ensuring not only that the right data is captured, but that they have an approach to ensure that retaining the right data in the right format at the lowest cost is addressed.

Eleventh Hour consulting, including project design, is growing rapidly as agencies and companies come up a steep learning curve on Big Data.  We assist customers with their understanding that cleansing and keeping all data over time will only deteriorate the ROI or a Big Data effort. Clearly defining the data to be captured and which to cleanse, and which to store and what can be archived at lower cost is part of the strategy process. Some questions that should be addressed up-front include:

  • How much data really needs to be stored? Everyone wants to capture all the data they can and store it all for as long as they can. However, there is a tremendous and unfeasible cost to that and it is an unnecessary waste. Given an agency or corporate wish-list, usually not all the data on their list even needs to be captured.
  • In what form should data be stored? Does the stored data need to be raw or cleansed, translated, transformed? Often, not all of it needs to be cleansed to store it. This depends on the goals of the implementation, the type of data and storage capacity required to store it and, more importantly, the likelihood that it will actually be used and in what manner it will be used. Helping agencies and corporations figure out how to tier data and what to store raw versus cleansed is also part of good strategy and project design. Creating an archive and purge strategy reduces the cost of storing all on higher priced infrastructure. Determining what data needs to be available for fast access versus storing in archival on lower cost storage hardware, and at slower retrieval rates, will be part of that strategy and can be used to point to ways you produced cost avoidance.
  • How long should data be stored? How long it is useful? What is the “value window” of data?  The value window of data is opened wide (highest) when it first comes in and declines the longer you hold it. You want to be able to use data when it is fresh and at its highest and best use (aka knowledge management). Data is coming at us so fast and is being refreshed frequently, one has to question if there is value in capturing and keeping it if you don’t really have the capacity to manipulate or analyze it all. For instance, early on agencies and corporations might have the tendency to get ahead of themselves and start collecting and cleansing data without the infrastructure, tools, and especially analytical expertise (data scientists) in place to analyze it and make it useful. One needs to ask if the data will be refreshed with all the components in place? Scheduling data capture, storage method and data purge should be part of a well-thought out design phase.

Eleventh Hour benefits customers early on by offering consulting services around governance and policy, such as establishing data retention policies in order to minimize costs while ensuring that the right types of data are captured, retained in the right format at the right price point, and for an acceptable length of time. Data duplication strategies can be devised. Retention schedules can be determined for different types of data and the process of disposing of out-of-date data can be automated.

In summary, agencies and corporations are coming up the learning curve and firms like Eleventh Hour offer consulting services that benefit in the near-term by offering help with governance and policy, especially when it comes to the many aspects of the data used for these projects.

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Are You Handling My Company’s Evidence Properly?

True story.  A litigation partner and his client sat down for a lunch meeting.  The client asked the litigation partner two questions:

  • Are you handling my company’s evidence properly (e.g., in a forensically sound manner)?
  • How do I know you are returning all of my data at the end of the litigation case?

The litigation partner blanched.  He said he would investigate and report back to his client the next day on his law firm’s evidence handling process.  The next day that litigation partner called Eleventh Hour for assistance in developing the law firm’s discovery workflow.

If you do not know how to respond to the two simple questions posed above then it may be time to assess your firm’s litigation profile, to develop and implement a forensically sound discovery workflow, and to educate ALL discovery practitioners and supports in these procedures.

Eleventh Hour assists legal organizations who must answer the two questions posed above.  We help:

  • Increase visibility with clients and prospective clients regarding a legal organization’s strength in handling complex discovery issues
  • Through process definition, reduce uncertainty and facilitate a firm’s ability to project confidence and competency in all areas of litigation and the discovery lifecycle
  • Clients are increasingly sophisticated in approaching e-discovery issues – find opportunities to showcase legal organization’s expertise in this area
  • Deliver knowledge to attorneys who must have a command of the law and the processes to “win” business and lead clients