

The Self-service Data Migration process is designed to provide you with the necessary tools, trainings, and guidance for you to successfully migrate your workspaces to RelativityOne. Review Assigning data migration resources to understand the specific job roles and responsibilities involved in performing a self-service data migration.
The self-service data migration process consists of the following three phases:
Additional information to reference for this process includes Data migration resources and Non-Relativity case data considerations.
If you’ve selected self-service, the most important first step in planning your data migration is to determine the team members that will be working on the process and clearly define their roles. These team members will work closely with Relativity’s team. Note that it is crucial for the below roles to be assigned and that it is fairly common for individuals to be assigned to more than one role.
The following table defines self-service data migration roles and responsibilities.
Organization | Role | Role definition |
---|---|---|
Relativity |
Data Migration Specialist |
|
Relativity |
Technical Support |
|
Customer |
Data Migration Project Manager |
|
Customer |
IT admin |
|
Customer |
Relativity Case Admin |
|
During the analysis and planning phase, Relativity and you will work together to scope the overall data migration project, define timelines, tailor the migration process, identify workspace priorities, and agree upon a communication plan for project stakeholders and end users.
[1] Provide information: Questionnaire
The data migration planning process begins when you are sent a link to a shared data migration questionnaire which contains questions regarding your specific IT infrastructure and data set. Your Relativity Data Migration Specialist may have additional questions as well to help you analyze and plan appropriately.
[2] Kickoff/scoping meeting
After you fill out the questionnaire, Relativity will host a kickoff meeting with you to provide an overview of the data migration process, introduce team members, scope the initial data migration approach, and set expectations on roles and responsibilities.
[3] Draft project plan and approach
After analysis and planning, a draft project plan and approach will be created and agreed upon. Recommended next steps often include a pre-flight case workspace to migrate.
[4] Setting yourself up for success
Relativity will help you prepare for the enablement phase by performing the following:
Scoping your infrastructure and data
Choosing test cases for migration
You will choose several pre-flight workspaces to migrate initially based based on priority and/or volume. These workspaces should have low priority (not urgent for customer, not in review). Choose workspaces whose document count is around the average document count for all workspaces. We recommend choosing a combination of 3-5 workspace that fits each the following properties
The Enablement and Training phase is focused on providing you with the necessary training and knowledge for various data migration workflows. This is accomplished with hands-on working sessions; during which Relativity and you will migrate 3 to 4 workspaces together.
[1] Workflow training session(s) (optional)
The data migration enablement and training phase kicks off with "workflow training sessions" for customers who are not technically proficient with data migration tools.
These sessions may use sample data and include the following workflows:
[2] Data migration workshop sessions
Data migration workshop sessions are designed to be a hands-on and interactive.
You will be migrating the pre-flight workspaces from your Relativity Server environment to RelativityOne under the guidance of your Relativity data migration specialist and going through the exact process you will follow when you begin active data migration.
[3] Pre-flight retro session
When pre-flight workspace(s) have been successfully migrated, a retro is convened to review the process and ensure that it's completed successfully and to capture any lessons learned into the data migration project plan.
During this call, we will go through your list of workspaces and estimate times for migration waves and you will sign off on the agreed upon data migration timeline.
After careful planning, running pre-flight exercises, training on all applications and confirming the plan is finalized, you are ready to conduct your data migration. By this stage, you have been trained on workflows and data migration applications. You are ready to migrate the rest of your data.
[1] Performing your data migration
During the Migration and Support phase, you will be performing the migration of the workspaces in prioritized waves according to the project plan you have created in your Data Migration Workbook.
Work with your Relativity Data Migration Specialist to customize the information sharing you will provide with each wave of data migrations to help insure all your stakeholders are notified. Based on estimated timelines, your Relativity data migration specialist will check in with you before each wave and after each wave to see how the process is going and troubleshoot any issues that may arise.
[2] Data migration retro and closing session
A closing session will be held with all stakeholders to ensure that the data migration was successful and go through the things that went well and any things that did not go well so that we can continually improve our processes and so that any feedback you have can be heard.
Communication planning
Downtime window considerations
Project tracking and monitoring
Upgrade and install applications
Scaling your resources
Issue troubleshooting
Post migration wave check-ins
When you are migrating non-Relativity case data to RelativityOne, the timeline may vary slightly from the process outlined here. You will be converting your case data to load files and then using
Your Relativity Data Migration Specialist will assist you with considerations for this.
The following list additional resources for considering when performing data migration into RelativityOne:
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