Legal and finance professionals for AI data review

Morvio sources legal and finance professionals to label documents, check your model's answers against the source and write reference answers. Each expert is matched to your task, jurisdiction and protocol.

We label data for AI development; we do not give legal or financial advice.

Demonstration example: a contract clause with its party, obligation, deadline and trigger labelled, and the clause type "delivery".

The Supplier shall deliver the Services within thirty (30) days of the Order Date.

The SupplierPARTYshall deliverOBLIGATIONwithin thirty (30) daysDEADLINEthe Order DateTRIGGER

clause type: delivery

Fig. 01 · EN · 1 clause · 4 spans · 1 clause labelSynthetic demonstration example: a contract clause labelled with clause type, party, obligation, deadline and trigger.
Price basis
Per item or per expert hour
After the pilot, we confirm the production price in writing.
Who does the work
Legal and finance professionals
Each expert is matched to your task, jurisdiction and protocol.
Review
Dedicated QA reviewers
We measure agreement between experts on a double-reviewed sample.
How to start
Send a project brief
Describe the task in five short steps. You do not need to send any data.

Legal experts label and review legal text for AI projects. Typical tasks: classifying clauses, tagging parties, obligations and dates, checking your model's answers against the source document, and writing reference answers.

Finance professionals

Finance experts label and review financial documents and your model's output. Typical tasks: extracting fields and line items from invoices and other financial documents, tagging entities and figures in reports, checking calculations and reasoning, and writing reference answers.

Field and line-item extraction on a synthetic invoice from a fictional company: 38 labelled boxes. 13 field boxes: supplier name, supplier address, bill-to, invoice number, invoice date, due date, PO number, currency, payment terms, subtotal, VAT rate, VAT amount and total. 5 line-item row boxes, each holding 4 cell boxes (description, quantity, unit price, amount), 20 cell boxes in all.
Fig. 02 · EN · 1 invoice · 13 fields · 5 line itemsSynthetic demonstration example: a one-page supplier invoice for a fictional company, with the header fields, each line item and its cells, and the totals boxed and labelled for extraction.
{
  "supplier_name": "Ostrel Flow Controls Ltd",
  "supplier_address": [
    "Unit 4, Larkfield Trade Park",
    "Ostlers Way, Thrushwell QX7 3LD",
    "United Kingdom"
  ],
  "bill_to": [
    "Verrin Hollow Dairy Ltd",
    "Attn: Accounts Payable",
    "Mill Lane, Brindlecombe QV2 8HN",
    "United Kingdom"
  ],
  "invoice_number": "INV-2026-04173",
  "invoice_date": "2026-10-28",
  "due_date": "2026-11-27",
  "po_number": "PO-58210",
  "currency": "GBP",
  "payment_terms": "Net 30 days",
  "line_items": [
    {
      "line": 1,
      "description": "Stainless ball valve, DN50, PN40",
      "qty": 12,
      "unit_price": 86.50,
      "amount": 1038.00
    },
    …
  ],
  "subtotal": 3127.00,
  "vat_rate": 0.20,
  "vat_amount": 625.40,
  "total": 3752.40
}
Fig. 03 · JSON · Extraction output · 13 fields · 1 of 5 line items shownThe same invoice as structured data: dates in ISO 8601, amounts as numbers and one record per line item.

Indicative price

Per item or per expert hour.

After the pilot, we confirm the production price in writing.

Get an estimate

Specification

Quality metric
Agreement between experts on a double-reviewed sample
Tools
Your tool, or a widely used open-source one

Who does the work

Qualified professionals, matched to the field and jurisdiction of your data.

  • Before work starts, you see each expert's qualification, jurisdiction and years of practice, with their consent.

Your project team

Each expert project has its own team: a team leader, experts recruited for your field, and dedicated QA reviewers. The team meets daily, and everyone signs an NDA before seeing data. Your project lead is the founder, Khaled Zerouki.

Quality method

How we vet experts

  1. 1

    Credential check

  2. 2

    Domain task

  3. 3

    Guideline calibration

  4. 4

    Reviewed first batch

  5. 5

    Ongoing checks

Questions

Do your experts give legal or financial advice?

No. We label data for AI development; we do not give legal or financial advice.

Can experts work in our evaluation tool?

Yes. We work in your tools, or in a widely used open-source one.

Are you a legal or finance professional? We recruit per project and pay for the work.

Apply to join

Discuss your project

Two ways to start. Both reach Khaled Zerouki.

Book a call. Pick a time in your own time zone.

Book a call

Scope a pilot. A fixed-price batch of your real task, with acceptance criteria agreed in writing.

Scope a pilot

Want a price first?

Get an estimate

We reply within 1 business day.¹ NDA on request. We can plan and price your project without seeing your data.

¹ Business days are Monday to Friday, UK time, excluding public holidays in England and Wales.