
Daniel Diette is an eDiscovery Data Scientist specializing in Technology Assisted Review (TAR) and eDiscovery Analytics at CDS. He has over 13 years of experience applying analytics to all phases of eDiscovery. As head of CDS' Advisory Services Analytics Team, Daniel manages the TAR process for CDS’ large, complex projects, from Second Requests to multi-billion dollar litigations and investigations. He consults clients on efficient document search and review in Relativity, Brainspace, DISCO, and Reveal, and the defensible use of predictive coding software and workflows.
Daniel Diette is an eDiscovery Data Scientist specializing in Technology Assisted Review (TAR) and eDiscovery Analytics at CDS. He has over 13 years of experience applying analytics to all phases of eDiscovery. As head of CDS' Advisory Services Analytics Team, Daniel manages the TAR process for CDS’ large, complex projects, from Second Requests to multi-billion dollar litigations and investigations. He consults clients on efficient document search and review in Relativity, Brainspace, DISCO, and Reveal, and the defensible use of predictive coding software and workflows.