Tax Court Approves Predictive Coding for First-Pass Document Review

Invariably, the logical answer to coping up with Big Data with regards to eDiscovery is Predictive Coding. While definitions of predictive coding vary, but a common form includes uploading electronic documents to a server followed by taking representative samples, and ‘Seed Sets’ are created by attorneys who are familiar with the legal issues of the case. Attorneys, then, review the seed sets and code each document for responsiveness or other attributes, such as privilege or confidentiality. Utilizing a re-iterative approach, predictive coding software is tweaked and adjusted regarding how the computer will analyze future documents.

Recently, a U.S. Tax Court gave permission to use predictive coding in Dynamo Holdings, Ltd. vs. Commissioner, 143 T.C. No. 9 (September, 17, 2014) case, whereby permitting a taxpayer to use predictive coding as a first-pass review of a large set of documents, despite the. Apparently, the big idea is to reduce costs. While respondents in this case asserted predictive coding to be an ‘unproven technology’, the court completely disagreed justifying this by citing several precedents along with an expert testimony. Predictive coding contains two important elements known as ‘Recall’ and ‘Precision’ – I have detailed these concepts in my earlier post.  Inspite of this, the court’s opinion is important for taxpayers faced with requests for a substantial amount of ESI, and has the potential to reduce costs that may easily run into millions of dollars.

This reaffirms one thing for sure – IT, which was once considered a necessary evil, is now evolving to form a symbiotic relationship with the legal industry, and with other industries alike. Manual document review is certainly going to be obsolete in the near future – if not already! Analytics, predictive coding, machine learning products and technologies providing us with business intelligence (BI) to make informed decisions. For example, Microsoft’s newest products such as Delve, along with host of BI tools provide meanings to your data, while SharePoint e-Discovery center adheres to the regulatory compliance and standards. With this said, predictive coding technology is essentially replacing manual work, and tech savvy attorneys seem to have a ball with one!

The important aspect in this regard lies with determining the optimal values for ‘recall’ and ‘precision’ within the predictive coding software!

e-Discovery and | cloud computing
New Jersey, USA | Lahore, PAK | Dubai, UAE
www.claydesk.com
(855) – 833 – 7775
(703) – 646 – 3043


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The Power Of Cloud Computing: Multi-Tenant Database Architecture

Software as a Service (SaaS) denotes a novel and innovative paradigm, and the fact that companies do not have to purchase and maintain their own Information Technology (ICT) infrastructure; instead services from third party are acquired. Multi-tenancy permits SaaS providers to provide similar service to various customers (tenants), which share physical and/or virtual resources transparently.

Multi-tenancy database architecture essentially forms a design in which a single instance of the software is run on the service provider’s infrastructure, and multiple tenants access the same instance. Simply put “A multi-tenant application lets customers (tenants) share the same hardware resources, by offering them one shared application and database instance, while allowing them to configure the application to fit their needs as if it runs on a dedicated environment”. One of the most conspicuous features of Multi-tenant architecture is that allows for consolidating multiple businesses onto the same operational platform or system. Multi-tenancy invariably takes place at the database layer of a service. As an analogy, think of a rental apartment building with numerous tenants, each having its own requirement of storage, space, and utilities.

Easier application deployment for service providers, improved rate of hardware utilization, and reduction in overall costs especially for SMEs are core benefits of Multi-tenant model. In traditional single-tenant software development, tenants usually have their own virtual server. This set-up is similar to the traditional Application Service Provider (ASP) model. However, in the SME segment, for instance, server utilization in such a model is low. By placing several tenants on the same server, the server utilization can be improved.

There different kinds of Multi-tenant models that exist in database applications today are as follows:

1.   Separate application, separate database, and infrastructure (Isolated Tenancy)

2.   Separate application, separate database, shared infrastructure (Infrastructure Tenancy)

3.   Shared application separate database, shared infrastructure (Application Tenancy)

4.   Shared application, shared database, shared infrastructure (Shared Tenancy)

The figure below illustrates a high level architecture of Multi-tenancy. Multi-tenant approaches as a continuum paradigm. The far left (Isolated Tenancy) depicts each tenant with its own application instance running and as we move further towards the right, sharing of tenancy increases, ultimately reaching the far right side (Shared Tenancy)

multi-tenancy-application-architecture

Multi-tenancy application architecture


e-Discovery and | cloud computing
New Jersey, USA | Lahore, PAK | Dubai, UAE
www.claydesk.com
(855) – 833 – 7775
(703) – 646 – 3043