

Very large Relativity workspaces (VLRWs) require a great deal of time and effort to maintain. As a result, it’s important to develop a plan to accommodate the workflow before your workspace reaches VLRW status. Making workflow changes after this point is inefficient and can be very time consuming.
Use the following best practices to plan your VLRW workflow and improve overall performance. These guidelines can also be a helpful starting point for educating Relativity users. This guide also outlines the best practices for setting up and working in VLRWs.
Importing large amounts of data can be time consuming.
Consider the following recommendations:
Note: To more easily verify data and recognize errors, load in smaller batches of data and verify each batch as you go.
Fields are not endless commodities. Too many or overly bloated fields can dramatically impact database performance. Use the following guidelines to improve field efficiency:
You can use folders to organize documents to reflect their original storage. However, in a large workspace, the use of folders can cause performance issues. Folders perform searches in the background to display documents. If searches begin to take longer as more documents are loaded, consider the following options:
Optimized indexing requires some knowledge of your data. Scrubbing your data before indexing saves time when creating an index and returning search results.
Consider the following when creating an index:
Note: Even if your database has only a small number of these files, creating an index without them improves searching speed.
Communicate with your team to create a search strategy for the case. Some cases have distinct words or terms that might warrant changing the default settings of an index.
Note: Editing these settings may affect search results.
Note: Be sure to communicate any changes to alphabet files. Searching against multiple dtSearch indexes that use different alphabet files can result in different results, even when running the same search on identical content.
For example, if a company name appears many times throughout a document set and you don’t intend to search for it, add this name to the noise words list. Configuring these settings before building a large index prevents you from having to rebuild the entire index later to include these types of characters.
You can use layouts, along with views, to improve workflow efficiency. Identify the type of information each reviewer group needs to code documents. (e.g., a group may be working on privilege logs, prepping for depositions, etc.). You can then use group security permissions to adjust layout visibility as necessary.
When planning layouts, think about the overall life-cycle of a document. For example, a review workflow may include the following:
Some users have many layouts that they need during the course of a document review. You can use separators (-----------) to help organize layouts and build the workflow.
Issue coding layouts can get long and cumbersome over time, requiring users to scroll to see all available choices. To improve the layout’s usability, change the layout field display from check box list to pop-up picker. This declutters the layout space by hiding the choices and presenting them only when necessary. Users can apply filtering to pop-up picker views to find choices.
Mass operations temporarily lock the document table while executing. Depending on the number of records and users in the system, the table may lock for an extended period of time and frustrate users trying to perform standard edits. If necessary, carry out mass operations at night or at an off-peak time.
Persistent highlight sets provide a valuable way to identify terms within the document viewer. Although the size of a workspace doesn't affect how persistent highlighting works, use these guidelines to improve usability in large workspaces:
Exporting large productions takes a great deal of time. Create saved searches to divide the production into roughly equal amounts, such as approximately 250,000 pages each. On multiple machines, export each saved search. Use the production images as the default.
For example, the following process exports 250,000 records with approximately 2.5 million pages to a network share folder:
Depending on the speed of your environment, this process may assist in the export process.
System admins have all necessary permissions to perform the following script-related actions:
Note: You can grant non-system admins admin permissions that relate to scripts. See Admin security for more information about granting admin permissions to non-system admins.
Users should not frequently run custom scripts that can have a negative impact on the system, including through SSMS access. Avoid using SSMS and the Admin Script functionality as much as possible until actions are audited and certain Relativity controls, including timeout values, are in place.
To prevent scripts from negatively impacting your environment:
Once you've identified the scripts safe for execution, you can make them available to users through the workspace tabs.
Reviewer Statistics is a popular script in the Relativity script library that reports on the number of documents reviewed over a certain period of time. It can take a while to complete in workspaces with large audit record tables. Instead of trying to run this report regularly during review, we suggest that you schedule it to run each night after maintenance has completed. You can then have the results emailed to one or more recipients.
Executing searches can be very resource intensive. Follow these guidelines to reduce the resources used for searching.
Search terms reports (STRs) simplify the process of identifying documents that contain a specific group of keywords. Instead of running complicated queries, you can use the search terms report to enter a list of terms or phrases and then generate a report listing their frequencies within a set of documents. As workspaces grow in size, a search terms report takes longer to run if the individual string is too complicated.
In large workspaces, avoid using nested proximity searches or wildcards in search terms reports. Nested proximity searches run slowly in large dtSearch indexes because the search string takes longer to search the index. Using wildcards before a term, after a term, or on both sides of a term, causes the search terms report to take much more time to complete. Instead of using wildcards, use the dtSearch Dictionary to identify variations of a term.
Combining wildcards and nested proximity searching may create overly complicated searches. This adds a significant amount of time to running a query and sometimes prevents it from completing. For example, (((Term1* or Term2*) w/20 Term3*) and Term4*) and (Term5* w/20 Term6*) is a complicated query.
Large workspaces usually require multiple security groups. You should organize documents and define security groups to assist with review workflow. Start with a baseline security group for each main role.
For example, you may need to create a baseline group for each of the following roles:
Set security permissions from the baseline, giving each user group incremental security rights as necessary. For example, three different user groups may need permissions for the following tasks:
Enabling Snapshot Auditing On Delete increases the database size.
When it comes to the reviewer interface, focus on workflow. Create views to filter document collections to necessary lists. Using views, you can manage the types of documents that are presented to a group. Use group security permissions to turn views toggle view visibility as necessary.
Analyze each group participating in the review, and map out its exact needs. For example, the First Pass group only needs to review batches. The Second Pass group needs to both review and quality check documents, and the Experts group only needs to see Production documents. Implementing a plan that coordinates views for review groups improves workspace management efficiency.
In addition, consider the following best practices for views:
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