Pseudonymising Mortgage Offers for Client and Adviser Review – UK GDPR-compliant anonymisation per UK GDPR

A mortgage offer sets out the lender's terms, names the borrower(s) and the property to be mortgaged, and discloses financial information including loan amount, interest rate, and repayment terms. anonym.legal pseudonymises the named borrowers and any personal financial references — preserving the lending terms, LTV ratio, special conditions, and lender's conveyancing requirements — so the offer can be reviewed by the borrower's solicitor or a financial adviser without the full personal financial profile being shared unnecessarily.

When this applies

This task applies when a mortgage offer is reviewed by a conveyancer advising on title conditions, a financial adviser benchmarking the lending terms, or a third-party compliance reviewer, and those reviewers require sight of the commercial lending terms but not the borrower's full personal and financial details.

  1. Upload the mortgage offer (PDF) from the lender to anonym.legal.
  2. The engine identifies the named borrower(s), their address, the property address (as a security property description), and any personal financial details referenced in the conditions.
  3. Borrowers are pseudonymised consistently; the loan amount, interest rate, term, LTV, special conditions, and any lender's conveyancing requirements are preserved.
  4. Any reference to named third parties (e.g. a co-habitant who must sign a postponement deed) is pseudonymised consistently.
  5. A mapping table is produced with UK/EU data residency.
  6. Release the pseudonymised offer for conveyancing or financial review; restore originals before execution of the mortgage deed.

What you provide

  • Mortgage offer document from the lender
  • Any lender's conditions or solicitor's instructions issued alongside the offer
  • Postponement or consent to mortgage deed (if issued with the offer and naming additional parties)

Limitations & cautions

  • The executed mortgage deed submitted to HM Land Registry must name the real borrowers — never use a pseudonymised mortgage offer as the basis for executing a mortgage deed.
  • Mortgage offers contain regulated financial information; the tool pseudonymises personal data but does not advise on the suitability or regulatory compliance of the lending terms.
  • Lenders' conveyancing instructions reference the borrower's name; pseudonymised instructions are for internal review only — the lender must be engaged using the borrower's real identity.

FAQ

Are the loan amount and interest rate preserved in the pseudonymised offer?

Yes. All commercial lending terms — loan amount, interest rate, term, LTV ratio, and repayment type — are preserved in clear text. Only the borrower's personal identifiers are pseudonymised.

Can I pseudonymise a mortgage offer with multiple borrowers?

Yes. Each borrower is assigned a distinct pseudonym and pseudonymised consistently throughout the offer and any lender's instructions.

Does the tool handle lender's conveyancing instructions issued under the CML/UK Finance Handbook?

Lender's conveyancing instructions typically reference the borrower and property. Upload them alongside the mortgage offer in the same batch for consistent pseudonymisation across the instruction set.

Property & Conveyancing

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.