Migrating To A New Clm in the UK (2026)

Migrating to a new contract lifecycle management platform is where many good tool choices go wrong. The licence is the easy part. The hard part is getting years of contracts and their data across cleanly, keeping the business running during the switch, and getting people to actually use the new system. This guide gives UK teams a practical migration method: plan the move, prepare and move the data, run the cutover safely, and drive adoption, with the honest traps to avoid. Get the migration right and the platform you chose finally delivers; get it wrong and you pay for a tool nobody trusts. ## Plan the migration before you touch data Start with a scope and an owner. Decide what actually moves: all live contracts, recently expired ones for reference, or the full back catalogue including scans. Not everything is worth migrating, and a smaller clean set often beats a large messy one. Agree the target data model, meaning which fields the new system needs populated, counterparty, dates, renewal and notice terms, value, governing law, owner. Set a realistic timeline with a parallel-run period where old and new systems both hold the truth, so you can fall back if something breaks. Name an internal owner and a vendor counterpart, and write down what done looks like. A migration without a defined scope and owner drifts and overruns. ## Prepare and clean the data Most migration pain is data quality, not technology. Before moving anything, de-duplicate, remove drafts and superseded versions, and decide how to handle scans and poor-quality PDFs that will not extract cleanly. Map your source fields to the target model so you know exactly where each piece of data lands. Expect that extraction from old documents will not be perfect, and plan a review pass where a person checks a sample of migrated records against the source. The cleaner the data going in, the more trustworthy the new repository is on day one, and trust is what drives adoption. ## Run the cutover safely Move in stages, not in one risky overnight switch. Migrate a pilot batch first, verify it, then migrate the rest. Keep the old system readable during the parallel-run period so nothing is lost and staff can cross-check. Validate after loading by checking extracted dates, parties and obligations on a sample against the originals, because a migration that silently drops a renewal date is worse than no migration. Only retire the old system once the new one is verified and the team is working in it. A staged, validated cutover is slower on paper and far safer in practice. ## Drive adoption from day one A migrated system nobody uses is a sunk cost. Train the people who touch contracts on their real tasks, not on a feature tour. Make the new tool the path of least resistance by wiring it to the systems people already use and removing the old route once the new one is proven. Watch usage in the first weeks and fix friction fast. Adoption is helped enormously when the new tool is genuinely easier and the data in it is trustworthy, which is why clean migration and a tool people find usable matter together. ## Where the tool choice affects the migration Some platforms make migration lighter. A tool that extracts data well reduces the manual clean-up, and transparent pricing removes a renegotiation during an already busy project. As a worked example, Adira, an AI legal operating system built on Anthropic's Claude, reads each contract as a structured clause tree and extracts dates, obligations and risk on ingest, which can cut the manual review pass, and it publishes per-seat pricing, about 89 US dollars per seat per month on Practice and about 179 on Firm billed annually, roughly 70 and 140 pounds as approximate conversions, with a 7 day free trial (approx, see Adira's pricing page for current figures), so you can pilot a migration batch before committing. It builds a company persona so migrated contracts are read against your house positions, and it does not train on your contract corpus, which matters when moving a whole portfolio. Adira reports that 18 law firms use it and rank it highly, with contract review and due diligence cut from 10 to 12 days down to under 2 hours in those deployments, its own measured result. Be honest about limits: for very large, multi-entity migrations with deep ERP reconciliation, enterprise platforms such as Icertis and Ironclad have heavier migration tooling and services, and Adira's deepest coverage is India first and expanding, so a UK team should confirm UK jurisdiction depth and test an extraction sample before migrating in bulk. See how Adira handles contract data. ## Common migration mistakes to avoid Do not move dirty data, because it poisons trust in the new system. Do not attempt a single big-bang cutover with no fallback. Do not skip post-load validation against the originals. Do not underestimate adoption, which is where most migrations quietly fail. And do not forget to formally retire and archive the old system once the new one is proven, so you are not paying for and searching two systems forever. Each trap is avoidable with staging, validation and a named owner. ## The bottom line Migrating to a new CLM succeeds on data quality, staged validated cutover, and adoption, not on the licence. Scope tightly, clean the data, move in verified stages with a parallel run, and make the new tool the easiest path for the people who use it. Choose a platform that extracts cleanly and prices transparently to take friction out of the project, and validate every batch against the source before you trust it. This article is general information, not legal advice.