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Search and Analytics

Search and Analytics

Organizing and reducing data using cost-effective and automated means.

BIA combines automation and advanced analytics technologies to reduce the number of relevant documents required for eyes-on review by attorneys and legal professionals.  While most eDiscovery vendors simply pass data through de-duplication processes and basic keyword searching, BIA uses a blend of advanced keyword and keyphrase searching, programmatic methods, commercial software and open-source tools to cull data before it reaches the attorney review phase.

Reduce Data and Costs

BIA uses the most advanced analytics technologies to help organize and reduce data prior to review.

Protocols for advanced cross-custodian de-duplication and email threading can entirely eliminate data early on in the process. Further, use of near-duplicate analysis, document-type and subject classification, form or common document identification and other proprietary culling methods help organize data collections so that similar documents are examined by the same reviewer(s), significantly increasing the efficiency and accuracy of the BIA review process. Analytical tools like concept searching, conversation trending, topic analysis and the like can help not only eliminate clearly irrelevant documents but can also similarly organize that data for more efficient review.

At BIA, our clients get the most practical, cost-effective program for reducing the number of documents that are sent to attorneys for subsequent legal document review.

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BIA uses automation to cull and filter non-relevant documents before sending them to legal document review, saving attorney time and money.

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Early Case Assessment & Removing Non-relevant Documents

Legal document review is an expensive phase of discovery that can benefit from early case assessment by promoting only those documents that require attorney review.

At BIA, we are experts at Technology Assisted Review (TAR) and other similar methods, but we like to look at more cost-effective methods first to help reduce non-relevant documents from the large volume of data that is typically involved in today’s discovery process.

In Discovery, that culling process is called early case assessment (ECA) — sometimes referred to as Early Data Assessment (EDA) — and allows our clients to leverage BIA’s technology and methods to get a bird’s-eye view of the type of documents that are really necessary for promotion to the legal document review phase.

At BIA, our ECA process uses advanced legal analytics composed of a host of different methods and technologies that unlike TAR and predictive coding technologies — do not require expensive people to complete.

Indeed, there is an ever-expanding list of three-letter acronyms like TAR, CAR and CAL that are often seen as the most promising way to reduce the costs of Discovery.

But before employing those somewhat costly and sophisticated solutions, there are a number of techniques, tools and processes that can be used to cull your data down before it gets to the point of requiring those human-involved advanced technologies.

Helpful and Practical Search Expertise

The BIA litigation technology team has the experience and testing methodology to guarantee reduced data sets and lower review costs.

BIA search and analytics experts, part of our Lit-Tech group, work with attorneys to craft and test searches, build workflows and automated review plans, and assist with productions.

Since every case cannot fit nicely into the same mold, our Lit-Tech group of experts works to ensure that the right advanced search terms and key phrases are correctly used early in the process to cull data down to only the most relevant documents.

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