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How Lem stays fair

AI in hiring deserves scrutiny - discrimination risk is real, and hand-waving isn't an answer. Here is exactly how Lemonade's screening is built to be fairer than the process it replaces.

Structured beats gut-feel.

Every candidate for a role is screened against the same brief - the role's actual requirements, checked one by one against the same criteria - which decades of hiring research shows is more consistent and less biased than unstructured CV sifting.

Evidence, not vibes.

Every score in every screening report links to the evidence behind it - what's actually in the candidate's record and application. Nothing is a black-box rating, and gaps are flagged honestly rather than hidden.

You make every decision.

Lem does the legwork - sourcing, screening, the paperwork. Every verdict is shown with its reasoning, and no candidate is rejected by an algorithm: Lem recommends, the employer decides, and every candidate can reply to Lem and ask for a second look.

Built to be scrutinised.

Screening is competency-based: your role's actual requirements, checked one by one, the same way for every candidate, with the evidence shown. Nothing about a person that is not a requirement of the role is scored.

Your data, handled properly.

UK GDPR compliant, ICO registered (ZC092497). Candidates are never shared without consent - nobody appears on a shortlist without saying yes to the role - and candidate data is never sold.

Questions about any of this? Ask us before you post a role - we'd rather you were sure. See also our Privacy Policy.