PROCESSING

EDDM E-Discovery Consulting combines capacity, speed, and flexibility while providing quality litigation support services. We have experienced consultants  knowledgeable in the best ways to manage large-scale electronic discovery and document reviews. For our clients, this translates into fast-turnaround, lower costs and consistent results.

EDDM Consulting processes data from any source making it fully searchable. Our processing and database creation solutions are designed to simplify and streamline key processes in order to help clients manage time and decrease cost.

Native File databases are the best option when you want quicker access for review and a lower upfront cost. When processing for a Native review, we are able to:

  • Extract and preserve metadata and text
  • De-NIST
  • De-duplicate
  • Create hyperlinks to the native file location
  • Keyword Searching

Each document can be reviewed in its native format (e.g. Word, Excel, Outlook, etc.) without altering the documents’ extracted information, hence avoiding spoliation. At EDDM Consulting, our aim is to reduce the amount of data by identifying, narrowing and de-duplicating files; creating a more manageable document set.

Because we provide quick access to the most useful information, your team will gain a decisive edge. With EDDM Consulting on your team, you will gain in-depth expertise and the most sophisticated technologies available; a combination that providing a true competitive edge. It’s a winning strategy that produces bottom-line results.

Processing and Analytics:

  • Relativity (incl. Assisted Review)
  • CloudNine Discovery
  • Logickull
  • Total Discovery
Early Case Assessments, timelines, near-duplicates, email threading, issue and privilege tagging, review analytics, advanced search queries are all based on the actual documents in the set and redaction sets. Keyword searching can miss up to 80% of relevant documents! Our predictive coding solutions address all relevant documents; giving our clients options when facing large data management productions.

 

Predictive Coding (also referred to as “CAR” or “TAR”, computer or technology-assisted review) has become a buzzword in e-discovery, but when it comes to taking a close look at implementing it in your e-discovery processes, it can become a daunting topic to tackle.

Predictive coding provides accuracy, consistency, and transparency; while dramatically reducing time and cost of the first-pass review. Predictive coding works by “predicting” which electronic documents in a huge collection of documents are going to be responsive or non-responsive based on input from a human expert.

Either a lead, senior attorney or a subject matter expert; decides whether each randomly generated document is responsive or not. The sample of judged documents is processed to build a model of the language used in responsive and non-responsive documents; to predict the status of a new random sample of documents.

Concept clustering refers to a set of tools that examines when certain words appear together in documents. The computer can generate concept clustered documents without any human input, therefore finding documents sharing the same combinations of words. Concept clusters can be used for smart prioritization of documents for review, and some predictive coding tools have effectively employed concept clustering at the heart of their algorithms.

Once convergence is achieved, the model then predicts the remaining documents. The logic applied to the few thousand documents actually reviewed, leads to the coding of hundreds of thousands, perhaps millions, of documents in the collection as responsive or non-responsive.

It is not one technology but instead; a family of evidence-based categorization technologies. We believe  the EDDM Consulting predictive coding solutions are the best available anywhere today; and have found that application of our predictive coding solutions averages decreases of data sets by 93%.

Document Coding

Quick turnarounds are a daily part of EDDM’s business. EDDM can efficiently scan and code any documents to meet client deadlines; our coding process is:

  • Project Check-in
  • Image Tallying / BATES SEQUENCE CHECK
  • Unitization
  • Bibliographic Coding
  • Quality Control, Assurance and Audits