Pseudonymising Assured Shorthold Tenancy Agreements for Portfolio Review – UK GDPR-compliant anonymisation per Landlord & Tenant Act 1985

An assured shorthold tenancy (AST) agreement names the landlord, all tenants, any guarantors, and the property address, and under the Landlord & Tenant Act 1985 must provide the landlord's contact address. anonym.legal pseudonymises those personal identifiers — preserving rent amount, term, deposit details, tenant obligations, and repairing covenants — so the tenancy can be reviewed by managing agents, lenders, or portfolio investors without exposing individual tenant data.

When this applies

This task applies when AST agreements are reviewed as part of a buy-to-let portfolio acquisition, shared with a lender for mortgage purposes, or assessed by managing agents who need the tenancy commercial terms but should not receive tenant personal details at the preliminary review stage.

  1. Upload the AST agreement (PDF or DOCX) to anonym.legal.
  2. The engine identifies the landlord's name and address, all named tenants, any guarantors, and any occupier personal details in the tenancy.
  3. Each natural person is pseudonymised consistently; the property address (as a let property description), rent, term, deposit amount, permitted use, and all tenancy conditions — including the landlord's repairing obligation under the Landlord & Tenant Act 1985 — are preserved.
  4. Guarantor provisions naming individual guarantors are pseudonymised at the name level while the guarantee obligations and scope are retained.
  5. A mapping table is produced with UK/EU data residency.
  6. Release the pseudonymised tenancy for portfolio or lender review; restore originals before service of any statutory notice or lender submission.

What you provide

  • Assured shorthold tenancy agreement
  • Any tenancy deposit prescribed information (if naming tenants)
  • Guarantor deed or guarantee provision (if separate)

Limitations & cautions

  • AST agreements have statutory requirements under the Landlord & Tenant Act 1985 and the Housing Act 1988; the tool pseudonymises personal data but does not assess statutory compliance — obtain specialist landlord and tenant advice.
  • The tenant's right to know the landlord's name and address under the Landlord & Tenant Act 1985 s.1 applies to the original tenancy — the pseudonymised copy is for third-party review purposes only.
  • Tenancy deposit protection requires the deposit to be registered in the tenant's real name; the pseudonymised copy must not be used for deposit registration purposes.

FAQ

Are tenant deposit details pseudonymised in the AST?

The deposit amount, deposit protection scheme, and prescribed information structure are preserved. The tenant's name in the prescribed information is pseudonymised.

Can I use this for a portfolio of multiple ASTs reviewed during a buy-to-let acquisition?

Yes. Upload all ASTs in a single batch. Tenants appearing across multiple properties receive consistent pseudonyms, and the portfolio rent roll data is preserved for financial review.

What is the repairing obligation under the Landlord & Tenant Act 1985 and is it affected?

The Landlord & Tenant Act 1985 imposes implied repairing obligations on landlords of residential lettings. The tenancy clause referencing this obligation is preserved in clear text; only the landlord's personal name and address are pseudonymised.

Does the tool handle periodic tenancies as well as fixed-term ASTs?

Yes. Both fixed-term and periodic ASTs are processed identically. The term or periodic nature of the tenancy is a commercial detail preserved in clear text.

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.
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Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

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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.