What does Richness signify in an Active Learning project?

Richness in an Active Learning project typically refers to the percentage of documents deemed responsive, meaning they are relevant to the specific legal or research context at hand. This is crucial because the effectiveness of an Active Learning model often relies on how well it can identify and extract relevant information from large datasets. A higher richness indicates that a significant proportion of the documents being reviewed are relevant to the queries or objectives of the project, which suggests that the Active Learning system is functioning effectively in narrowing down the search to pertinent materials.

In contrast, measuring the number of reviewers, the amount of data returned from a saved search, or the total count of documents reviewed does not directly reflect the quality or relevance of the content being analyzed. Richness focuses specifically on the relevance of the documents, which is essential in optimizing the effectiveness of an Active Learning approach. Thus, the emphasis on responsive documents underscores the goal of efficient information retrieval and processing within the project.