Expert review for clinical, legal and financial data
We pair our pre-labelling engine with reviewers who work in the field the data comes from. For HealthTech, FinTech, LegalTech and enterprise AI teams.
The problem
Clinical notes, contracts and financial filings need judgement that general annotators cannot give. A wrong label on a drug interaction or a liability clause teaches a model the wrong thing, and the error is hard to spot later.
Work we take on
| Task | What you receive |
|---|---|
| Complex reasoning | Step-by-step judgements on multi-part questions, with the reviewer’s correction where the model went wrong. |
| Legal contract breakdown | Clause types, parties, obligations and dates labelled clause by clause. |
| Financial document audits | Line items, figures and entities checked against the source document. |
| Clinical and biomedical indexing | Conditions, drugs, procedures and outcomes tagged against your coding scheme. |
How a batch moves
- Pre-label
- Domain-tuned LLMs make the first pass on text and documents. Live
- Who reviews it
- Clinicians, lawyers, accountants and financial analysts. We are recruiting them now. Next
- Agreement check
- Blind multi-review on ambiguous items, tracked with Fleiss’ kappa and Cohen’s kappa. Next
- Status
- Taking pilot requests. Pre-labelling and security controls run today. Expert review starts with the first pilots.
Request a pilot for expert review
Pilots start once our first expert reviewers are in place. Send a request now and we will reply by email.