5 Data Migration Mistakes That Derail Legal Tech Implementations

Every legal technology implementation lives or dies on the quality of its data migration. You can choose the perfect platform, configure it flawlessly, and train your team thoroughly — but if the data migration is botched, none of it matters. After completing over 50 data migrations for law firms, here are the five mistakes we see most often.

Mistake 1: Treating Migration as an Afterthought

Too many firms leave data migration planning until the end of the implementation process. By then, timelines are tight, budgets are stretched, and the migration gets rushed. The result? Missing data, broken relationships between records, and a team that doesn't trust the new system from day one. Migration planning should start at the same time as platform selection — it's that important.

Mistake 2: Migrating Dirty Data

The phrase "garbage in, garbage out" has never been more relevant. Firms that migrate without first cleaning their data are simply moving their problems to a new platform. Common data quality issues we encounter:

• Duplicate contacts (sometimes 5-10 versions of the same person)
• Inconsistent matter coding and naming conventions
• Orphaned documents with no matter association
• Incomplete records missing critical fields
• Legacy data that's no longer relevant but clutters search results

This is why our data migration process includes dedicated cleanup and deduplication phases. It adds time upfront but saves exponentially more time after go-live.

Mistake 3: Not Mapping Data Relationships

Legal data is deeply relational. A matter connects to contacts, documents, time entries, billing records, trust transactions, and communications. Migrating each data type in isolation — without preserving these relationships — creates a system where you have all the pieces but none of the connections. Every migration needs a detailed relationship mapping exercise before any data moves.

Mistake 4: Skipping the Test Migration

A test migration (or "dry run") is not optional. It's the only way to identify issues before they affect your live system. We run at least one full test migration for every project, comparing source and destination data to verify completeness and accuracy. The test migration almost always reveals issues that would have caused problems in production — field mapping errors, character encoding issues, date format mismatches, or data that doesn't fit the new system's structure.

Mistake 5: No Parallel Running Period

Cutting over to the new system overnight is risky. Best practice is to run both systems in parallel for a defined period — typically 2-4 weeks — so your team can verify that everything migrated correctly while still having access to the old system as a safety net. This parallel period also serves as intensive real-world testing that no amount of pre-migration QA can replicate.