use cases

for people who handle other people's data.

professional secrecy, patient confidentiality, employee records. if you can't paste it into a chatbot, limenn is for you.

medical practices

appointment letters and referrals without patient names

you write"summarise the referral for Maria Keller, born 03.02.1987, AHV 756.9876.5432.17, with recurring migraine, for Dr. Huber."

removed

patient and doctor names, date of birth, AHV number, contact details

stays

the diagnosis and the medical question, so the summary is still accurate

for teams who can't paste client data into a chatbot
law firms

contract reviews with parties, addresses and IBANs removed

you write"check the notice period in the lease between Favre Immobilier SA and Jonas Weber, Seestrasse 45, 8002 Zürich."

removed

parties, addresses, bank details, case numbers

stays

clauses, notice periods, legal references and court names

HR

employment questions without employee records

you write"draft a reference letter for Lea Fischer, AHV 756.1234.5678.97, in the team since 01.04.2021."

removed

employee names, AHV numbers, private phone numbers and addresses

stays

job title, tasks and the tone you ask for

finance & fiduciary

client correspondence and payment questions without account details

you write"write to Anna Meier that the refund to CH93 0076 2011 6238 5295 7 for invoice INV-20931 is on its way."

removed

client names, IBANs, card numbers, emails, reference numbers

stays

what happened and what you want to say

working in one of these fields? we're looking for pilot teams in Switzerland.

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