Developing an appropriate review workflow and strategy

There are numerous solutions for reviewing the data for your matter. The expected approach is not always the same workflow that is executed and based on new considerations that will inevitably arise, the strategy needs to be adaptive. At all times, the workflow will be guided by several factors – the number of documents for review, the relevant review objectives, the time in which those objectives need to be achieved and the resources available to complete the review.

Consider

• Linear Review which involves starting at document one and moving your way through the documents until the review is complete.

• Targeted Batch Review which involves using basic search methods such as key words, concepts, dates, and stakeholders, to allocate priority document sets to specific reviewers.

• First and Second Level Review which involves allocating documents to a set of reviewers to determine high level relevance of a document followed by a more experience set of reviewers for relevant documents to determine how they might relate to a specific set of issues.

• Analytics Powered Review which involves leveraging the analytics features within the review platform to reduce the number of documents for potential review and increase the speed with which you can review and make decisions on the balance.

• AI Powered Review which involves leveraging an advanced analytics feature called Continuous Active Learning, a computer model that identifies documents it determines are likely to be relevant based on how you have determined relevance on similar documents.