The comprehensive and effective gathering and analysis of electronic information is essential to the successful outcome of research and investigation projects.
‘Big Data’ is a term coined in the early 2000’s to describe the massive growth and availability of both structured and unstructured data. In addition to the sheer volume is the numerous formats in which data can be found: emails, video, audio, text documents, internal data, machine to machine data, social media and interactive forums to name but a few. The challenge is in identifying and collecting data to satisfy the client’s needs.
Unstructured data is open-source data not indexed by search engines and therefore not accessible by conventional search practices. Unstructured data is by far the majority of the material that comprises the internet.
CLS has unfettered use of Discovery, a tool that makes relationships between disparate items of information and intelligence extracted from myriad sources including, open-source, deep-web (internet, social media, blogs, forums, local/national/international news groups); hardware sources (PC’s, storage drives, email, mobile phones, cameras for instance).
Data currently available is so large and complex in nature that globally it is termed ‘Big Data’
Once gathered, the tool intuitively grades the results into ‘themes’ and ‘entities’, which provides the researcher/client with manageable amounts of legitimate information to consider. By highlighting the relationships the tool effectively identifies ‘unknown unknowns’.
Discovery has been successful in projects concerning asset tracing, due diligence, company and individual profiling and is useful in all sectors of the legal profession, however to understand the full capabilities of this powerful tool cannot be adequately explained on this site.
A more comprehensive insight can be provided on request.