How to Switch TMS Platforms: A Practical Guide to Data Migration and System Cutover

Companies may decide to replace their translation management system when project volumes grow, AI translation becomes part of daily operations, existing workflows become restrictive, or the current platform no longer supports the way teams work. A TMS migration can affect translation memories, terminology databases, historical projects, users, permissions, workflows and integrations. If these areas are not reviewed before the move, problems often appear after launch in the form of missing resources, broken project handoffs or incorrect access settings.

A practical migration plan usually covers seven stages: data inventory, data cleanup, field mapping, pilot migration, project testing, system cutover and post-launch validation. Before moving anything, teams should decide which data still needs to remain operational and which records can simply be archived.

Identify What Needs to Move

The amount of data stored in a TMS varies widely between organizations. A platform that has been used for several years may contain large volumes of translation memories, terminology, project history and user settings. The first step is to create an inventory and separate business-critical resources from data that is no longer actively used.

Typical migration scope includes translation memories, terminology databases, historical projects, users and organizational structures, permissions, workflows, system settings and third-party integrations. Translation memories may include bilingual segments, language pairs and domain metadata, while terminology databases may contain approved terms, translations, notes, domains and prohibited terms. Historical projects can involve source files, translated files, versions and delivery records. Any API connections, machine translation engines, content platforms or internal systems should also be documented.

There is usually little value in moving every record exactly as it exists. Inactive accounts, duplicate terminology databases, test projects and obsolete language resources can be archived or removed before migration. Cleaning the source data makes the import and validation stages much easier to manage.

Review Data Formats and Field Mapping

Once the migration scope has been defined, check what the current TMS can export and what the new platform can import. Translation memories often use exchange formats such as TMX, while terminology may be available in TBX, Excel or CSV. Project history, user permissions and workflow settings are more difficult because TMS platforms do not always organize these records in the same way.

A field-mapping document can prevent many problems later. For example, confirm how client, project manager, domain and language-pair fields in the old system will map to the new one. If terminology records include status, notes, part of speech or prohibited-term flags, decide whether those fields also need to be retained.

This is also a good time to review data quality. Translation memories may contain duplicated segments, incorrect alignments or outdated translations, while terminology databases may contain obsolete or duplicated entries. Moving only the resources that teams still trust reduces cleanup work after launch.

Run a Pilot Before the Full Migration

A TMS usually supports active production work, so moving everything at once creates unnecessary risk. A smaller pilot gives the team a chance to validate the new environment before more data and projects are added.

A useful pilot can include one commonly used language pair, one translation memory, one terminology database and several representative file types. During testing, check whether TM and terminology are retrieved correctly, common Word, PDF, PowerPoint and Excel files are processed as expected, and project creation, assignment, translation, review and delivery all work properly. User permissions, exported files, reporting, machine translation, LLM connections and APIs should also be included if they are part of the normal workflow.

Copies of real projects are usually better test material than simplified sample files. Long documents, complex tables, multilingual content and projects with existing language resources are more likely to reveal issues that matter in day-to-day production.

Keep the Previous TMS Available During Cutover

After the pilot is complete, define a cutover date and decide which system will handle active projects. One simple approach is to place all projects created after a certain date in the new TMS while allowing projects already in progress to finish in the previous platform. This gives project managers and linguists a clear operating rule and avoids splitting the same project across two systems.

Some organizations also keep the old platform available for a short period in read-only or limited-access mode. It can then be used to check historical projects, recover files or verify records that were not included in the first migration batch.

Before the final cutover, verify that migrated data volumes are broadly consistent with the source system, important translation memories and terminology databases can be accessed, user roles are correct, active projects have a defined location, external linguists and vendors have received new access instructions, integrations are working, and the old system has been backed up. Keeping a migration log is also useful. It should record what was exported, what was imported and what was intentionally left behind.

Validate the First Production Projects

The migration is not finished as soon as users can sign in. The first production projects should be monitored closely so that configuration and data issues can be identified early.

Project managers can review TM matching, terminology retrieval, task handoffs, permissions and exported files. Translators and reviewers may also notice differences in navigation, resource selection or review workflows that were not obvious during the pilot. These findings can be used to adjust the new environment before project volumes increase.

A TMS change is also a useful opportunity to clean up language-resource management. Duplicate terminology databases can be consolidated, obsolete resources can be archived, and project naming or access rules can be simplified. During the first few weeks, keeping an issue log grouped by data, workflow, permissions, file processing and system configuration makes follow-up work easier to manage.

Preparing to Move to LanTMS

Organizations planning to migrate existing translation workflows to LanTMS can start by documenting their current translation memories, terminology databases, language pairs, workflows, user roles, commonly used file formats and historical data. Frequently used or business-critical resources should be marked separately.

The first migration test does not need to include the full archive. One commonly used translation memory, one main terminology database, one real project and several representative files are usually enough to test many everyday scenarios. Once the data and workflow have been validated, the migration scope can be expanded gradually.

LanTMS supports enterprise document translation, project collaboration, terminology management and corpus management. Teams with large historical repositories can also use the migration period to remove duplicate, obsolete or low-quality resources before they are reused in future projects.

Final Checklist

A TMS migration affects data, projects, users and system configuration at the same time. Preparing the existing resources and testing the new platform with real project data can reduce the amount of correction required after launch.

A practical sequence is Data inventory → Data cleanup → Field mapping → Pilot migration → Project testing → System cutover → Post-launch validation. Translation memories, terminology and historical projects contain years of accumulated work, so careful validation during migration makes it easier for new projects to continue without unnecessary disruption.