Efficient data processing solutions, streamlining review workflows and reducing costs.
CYFOR’s Data Processing service is designed for law firms and corporations requiring rapid and accurate processing of unstructured data to cull and de-duplicate with complete metadata extraction. Partnering with best-of-breed technology providers, we have the advanced tools and best practises to process the most complex of data sets.
CYFOR’s data processing service is fully supported by experienced and technology certified eDiscovery project managers who provide consultancy from our secure headquarters or on premise at your client’s facilities.
Our Data Processing service is designed to facilitate a streamlined review by targeting the relevant data to your case and reducing the overall size by applying techniques such as de-duplicating.
Our data processing service includes:
CYFOR provide keyword consultancy as a standard practice within our eDiscovery service. Our expert analysts review the proposed keywords from a technical perspective to ensure that our advanced review platforms will accept them as relevant. This is important from a usage point of view, to establish their effectiveness, relevance and appropriateness. Applying these criteria will also ensure that this responsive data derived from the keywords is proportionate to the entire data set inputted into our review platforms.
De-duplication is the most effective part of data processing as it removes any duplicate information. This reduces the number of documents for review, preventing document reviewers having to look at the same document more than once and saving time.
This looks at the entire dataset, keeping only one instance of a duplicate document. In some cases where there is more than one custodian (person/laptop) being investigated, it can sometimes be crucial to know whether a certain document is present within both custodian’s datasets.
This option removes duplicate documents; however, it will keep one instance of a document within each person’s dataset.
There are further cases where sometime de-duplication is not relevant and it is crucial that the review shows every instance of a document within a dataset, even if duplicate documents are present. For instances like this, we set ‘No Duplication’ on when processing your dataset.
These multiple options are discussed with you prior to us carrying out any processing on your case. Our eDiscovery specialists collaborate with you as a natural extension to you and your teams to identify what the best duplication option is on a case by case basis.
CYFOR have collaborated with Nuix since 2013, utilising the advanced processing tools, such as Nuix Investigator and Nuix eDiscovery Workstation.
As an eDiscovery solution, Nuix’s exceptional power enables CYFOR to process and search vast quantities of data. Nuix works through the entire Electronic Discovery Reference Model (EDRM), covering collection, processing, search and analysis, culling, review, and production.
The processing capabilities of Nuix, allow us to collect and process large volumes of data, including;
Nuix also allows us to remotely download data from various accounts, such as;
Backups of iOS devices stored in the iCloud can be processed, without requiring access to the devices themselves. Being able to remotely download these accounts saves our clients both time and money, as we can execute the download from our secure offices with no disruptions.
Processing technology is securely integrated into the Relativity, allowing CYFOR to process, analyse, and review your data within a single platform.
Relativity Processing allows us to process native files and quickly prepare them for review. Full metadata and container extraction, domain parsing, and native application imaging combine to provide a complete processing solution.
This provides concise access to the facts you require for each processed data set, such as metrics on the original data source and the documents which were published to review.
Data can be triaged and filters applied, including date range, sender domain, and file type to eliminate unnecessary raw data from the eDiscovery process. Relativity Processing allows us to ingest raw data directly into your workspace for eventual search, review, and production.
Some of the primary goals of processing are to: