I wrote recently about Relativity Trace, an application built on Relativity whose purpose is to help organisations facing (as who does not) compliance and security risks.

At Relativity Fest in Chicago, I interviewed Jordan Domash who has been largely responsible for the development of Relativity Trace. Its purpose, he said, is to help large corporations like banks and pharmaceutical companies to set a watch for bribery, market abuse and similar internal issues, partly because they are obliged to by regulators, and partly because they need to know what is going on.

Relativity Trace began as a demonstration, shown to a few of Relativity’s partners and potential clients to see if it was of interest to them. It was indeed of interest, and Relativity built the application in conjunction with four of its partners.

Jordan Domash said that corruption and bribery are good examples of the many uses for Relativity Trace. They generally have patterns common to many such instances. Organisations who identify individuals or groups who pose a risk can install Relativity Trace and automatically ingest content of various types. It is indexed and processed and set to raise alert flags for relevant behaviour. It is proactive and ongoing – the organisation predefines its rules then only has to review the alert generated by them.

This is interesting, not just for itself, but because it is another example of using eDiscovery tools and skills for purposes beyond eDiscovery. Jordan Domash said that Relativity is keen to show its partners that they can build a real business outside discovery using Relativity’s extensibility and flexibility.

As I was writing this, news came in of a substantial installation of Relativity Trace and Intelligent Voice (I wrote about that here) at ING in Amsterdam. ING is monitoring about 400 traders across email and instant messaging, with voice to be added shortly. This is the beginning of a global rollout which will in due course monitor data from over 1,200 traders worldwide in a dozen languages. There is an article about this here.

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