Every plant migration pitch has the same slide: data flows from the old system into the new one, an arrow between them, a go-live date underneath. I’ve done these migrations, so let me tell you what the arrow is hiding — what the work really is, how to run two plants without doubling your examiners’ workload, and the three things that break on essentially every migration regardless of vendor.

The Real Work Is Schema Normalization

A title plant looks like a database of documents. It’s actually a database of opinions about documents — decades of indexing conventions, staff turnover, and vendor quirks, accumulated in layers. Migration is the act of translating those opinions into a new schema, and that’s where the effort lives.

Names are the obvious case. The legacy plant has “SMITH, JOHN A,” “Smith John A.,” “SMITH JOHN ANDREW,” and “SMITH J A” — some of which are one person under four keying eras, some of which are four people. Legals are worse: subdivisions indexed by an abbreviation table someone built in 1987, metes-and-bounds under section-township-range keys with shop-specific formatting, condos under a convention whose inventor retired with it. Every one of those local dialects has to map to the new schema, and the mapping decisions are title decisions, not IT decisions. Collapse two variants that are actually different people and you’ve built a false chain. Fail to collapse two that are the same person and you’ve built a search miss. This is why a migration led purely by the technology team goes badly: the mapping table needs an examiner’s judgment in the loop, on a sampling basis, from week one.

Dual-Running Without Doubling the Work

The naive plan — search everything in both plants until confidence is high — doubles examiner effort, gets abandoned inside a month, and leaves you trusting the new plant by default rather than by evidence. The workable version is asymmetric.

Route production to one primary — usually the old plant at first, because it’s the devil you know. Verify the new plant by sampling, not duplication: one search in ten runs in both, and every delta gets chased to root cause. A delta is always one of three things — a conversion defect, a legacy-plant error the migration accidentally surfaced (you will find these, and they’re a gift), or a convention difference needing a mapping fix. Track the delta rate weekly. When it’s flat, explained, and inside tolerance for several consecutive weeks, flip primaries: new plant serves production, old plant becomes the sampled check. Run that way for a defined period, then retire the old plant deliberately, instead of letting it linger as a security blanket somebody still pays maintenance on.

The other half of dual-running is the daily pipeline. Historical conversion gets all the attention, but from cutover day forward, new recordings have to post to the new plant on the new conventions while the historical remediation is still running behind them. Two workstreams, different failure modes, one date boundary between them — and your examiners need to know exactly where that boundary sits.

Cutover Weekend

If the sampling did its job, the weekend itself is an anticlimax — which is the goal. Freeze the legacy plant Friday night at a recorded high-water mark: last instrument, last posting date. Run the final delta conversion. Reconcile counts — documents in, documents out, per index type — with every discrepancy explained before Monday, because “we’re a few hundred short and we’ll find them later” is how holes become claims. Repoint the daily feed. Then treat the first two weeks as hypercare: every “that search looks thin” from an examiner gets chased immediately. Examiner instinct is the best conversion-defect detector you own, and it goes silent if the first three reports get shrugged off.

The Three Things That Reliably Break

Legacy parcel IDs. Decades of priors, starters, and takeoffs reference parcels by the old plant’s internal IDs. If the migration doesn’t deliver a permanent crosswalk — old ID to new ID, kept forever — every historical reference in your shop goes dark. Vendors treat internal IDs as disposable implementation detail. Your file history disagrees. Demand the crosswalk as a named deliverable.

Subdivision boundary drift. The old plant’s subdivision definitions — which lots, which blocks, which replats got merged into which base index — encode years of corrections that never made it into any recorded document. They live only in the plant. Automated conversion reads the recorded plats and faithfully reproduces the uncorrected boundaries, so searches near replat seams start missing documents the old plant, through accumulated tribal fixes, used to catch. The fix is boring: during dual-run, sample deliberately along replat and annexation seams, because uniform random sampling under-samples exactly these.

Undocumented name-variant tables. Somewhere in the old system is a table nobody documented — the aliases, the “also indexed as” links, the corporate-name equivalences an indexer added in 2003. It doesn’t export cleanly, or at all, and its absence is invisible until a name search misses a variant the old plant silently expanded. Ask the outgoing vendor for it explicitly, in the data-extraction contract. If they say no such table exists, have an examiner run twenty known-messy names in the old plant and diff against the raw index. There’s such a table.

None of this is an argument against migrating. Plants trapped in legacy systems accrue risk too — just slowly enough that nobody notices until the vendor sunsets the product or the last person who understands the conventions retires. It’s an argument for migrating with the failure modes named in advance and a verification plan sized to catch them.

Where Veris Sits

Veris is built as the destination for this process — schema normalization, conversion reconciliation, and dual-run sampling as first-class features rather than professional-services improvisation. I won’t tell you a migration into Veris is painless; I just described why none of them are. I’ll tell you the pain is plannable, and that the difference between a planned migration and an improvised one shows up in your claims experience three years later.

If a migration is in your future, start the conversation before you’ve signed anything — with us or anyone else.

Talk to us about Veris →