Servient's E-Discovery Platform greatly improves the rate of recall. Assuming traditional keyword searching was used as a filter for review assignment, the learning model created by Predictive Review can be used to improve the performance of the search. Documents with a high probability of relevance that were missed because of the inherent limitations of basic search technology can be identified with Predictive Review.
In practice, Predictive Review enhances the recall rate of standard search technology. Predictive Review reduces the number of irrelevant files submitted for review, while increasing the number of relevant files identified in the e-discovery process.
Servient's proprietary search technology is the most powerful engine on the market.
Fueled by Servient's "Search Acceleration Technology", a search through terabytes of data returning millions of documents is performed in less than a second.
Automated query segmentation is at the heart of Servient's technology. By splitting the query into computationally efficient subparts, Servient delivers incredible search performance across complex queries, and provides meaningful statistics regarding the query segments.
Get quick lookups of email addresses, display names and domains contained in the litigation hold data.
Servient's advanced analytics technology automatically identifies alternate email addresses and display names for a selected email address. The searcher can then view samples and combine the various email addresses and display names into a "Person Object". This allows a query to automatically search for all relevant aliases when a search is executed.
Experience the true "game changing" nature of the Servient E-Discovery Platform. Instantly move documents from the Search & Culling component directly to the full-featured non-linear Document Review component with the push of a button.
Servient records the assignment of documents to legal review to establish the defensibility of the entire process.
And Servient allows counsel to control various rules to streamline the e-discovery process and apply various de-duplication filters during assignment to review. Duplicate documents suppressed from the review set are automatically recorded and can be reported on or included at the time of production.
Servient automatically identifies concepts and visually organizes documents into "Concept Groupings" and then into sub-topic groups.
System file removal (De-NISTing), file type and date filters, as well as de-duplication against data already in the archive can be run as import settings.
This data visualization allows the searcher to view and quickly gain an understanding of the documents within the concept groupings that serve as the best starting points in designing the search filter.
Servient provides automated guidance in the search refinement phase by utilizing text classification technology to identify important keywords. A text classification algorithm creates a score that correlates with the likelihood of the query segment returning a large number of non-responsive documents. The searcher can immediately drill into each query segment and:
- Test various search refinements to improve the effectiveness of the search.
- Quickly view a sample of the documents that are returned by the query segment to understand the context of the query in the actual documents.
- Quickly view all Concept Groups that are related to the query segment. This allows the searcher to target the search refinement to the relevant concepts in the documents.
Servient includes an easy-to-use interface that can combine over 100 metadata fields with advanced full-text queries into complex searches.
Searchers have the full complement of traditional search methods at their disposal, such as wildcards, Boolean, proximity, stemming, as well as more advanced retrieval based upon document similarity and relationships.
Multiple searches can also be run together allowing the searcher to run specific queries applicable to certain custodians, witness, date ranges, etc., while still understanding the total document count being promoted to legal review.
Servient lets you understand the data with an immediate overview of the nature of the litigation hold data set.
Drill into such information as data volumes, file types, data by custodian, data by sources, and the extent of duplication.
Counsel can efficiently assess and communicate the extent of the requirements associated with e-discovery at an early stage of the process.
Servient allows the searcher to view all documents in the litigation hold data set. Each native file is also just a click away. Servient automatically highlights the search terms within the document so that the searcher can quickly understand the context of the search terms.
Say goodbye to the dark ages of e-discovery where counsel wrote down simplistic search terms to be run by a TIFF vendor who charged by the page. Now see what you have been missing and save your client money.
The ability to generate random samples of documents sets is included throughout Servient's E-Discovery Platform. Based upon the desired confidence measure and acceptable error rate, the searcher can perform statistical sampling to verify the search filter design.
As Servient allows for the immediate promotion of documents to legal review, Counsel can submit a small sample of documents to review to learn the distribution of responsive/non-responsive within the search results.
Counsel can also sample the documents within the litigation hold that have not been promoted to review. This allows Counsel to ensure that the final search filter is reasonable.
