Collecting from various data sources has become the standard for our team. This project required our team to collect from O365, SharePoint, OneDrive, emails, and SAP – an ERP system. Collecting data from SAP was a unique obstacle being that it was a database itself. This hurdle required us to work closely with the IT department in order to work in the SAP environment and normalize the data for it to be culled down, processed, and reviewed.
Once the data was normalized, it was decided that the most efficient way to fulfill the investigation requirements was to rely heavily on predictive modeling. Therefore, our team worked hand in hand with the case team to setup RelativityOne with various predictive models based on the example seed documents provided by the client. It was easy to see that without the predictive models, there would have been no way to cull this data down in such a tight time frame.
By utilizing analytics and predictive models in a strategic manner, our team was able to cull the 1.7M documents to 50K and fulfilled the discovery order on time. From there, we were able to take the 50K documents and conduct a detailed review that resulted in a 12K document production to the government that were relevant to its investigation, avoiding a fine from non-compliance.
Collecting from an ERP system like SAP furthered our knowledge on necessary output in order to be uploaded into RelativityOne, adding yet another tool to our toolbelt. Our PLUS team was key in helping our client meet their deadline. We utilized our expertise to produce the right type of documents that helped our clients build their case.
Our focus on true partnership was instrumental in curating solutions for this project as we worked closely with the case team and IT department. We pride ourselves in seeing what our clients need and building the customized workflows around those needs. Our white glove service is second to none.
