Relativity uses your expertise to automatically code documents.

You can train Relativity on relevance and key issues by coding statistically sampled subsets of documents. Relativity's text analytics engine suggests coding decisions for the remaining documents in the case, based on the small subset of examples. You can then prioritize the relevant documents and repeat the process with a more focused sample set for increased accuracy. Review time and costs decrease rapidly when you use text analytics to magnify the efforts of your review team.

• The differences between similar documents can be easily compared side-by-side for quick coding.
• Propagation rules allow decisions to automatically flow to related documents.
• The highlight tree helps reviewers make faster decisions by giving them instant context about each document in their batch.