How it works
One funnel: measure first, then fix, then certify. Every step is an artifact your organisation can file, audit and compare.
Step 1
The source document and its translation, in PDF or Word. Lexmetra is built for legal volume: a two-page power of attorney or a 60,000-word court file, uploaded the same way.
Large documents are split and analysed in parallel, so a 60,000 word case file does not queue behind a contract. Capacity follows demand automatically; there is no infrastructure on your side.
The focus languages are English, Spanish, French and Italian, and the engine is model-based, not rule-based: it can work with virtually any language. Working in another pair? We want to hear from you.
Step 2
Lexmetra reads the full document pair and returns a Score from 0 to 100. The formula is severity-weighted and structured on industry error taxonomies: critical errors cost more than minor ones, and density matters, so a long clean document is not punished for its length.
The scoring is deterministic: the same findings always produce the same score. That is what makes quality comparable across documents, translators and vendors, and it is why the Score can anchor a service-level conversation.
Calibration is human: the formula is tuned with professional sworn and qualified legal translators, and validated on real court documents with findings verified against source by human audit.
The engine underneath is built model-agnostic: today it runs on frontier reasoning models deployed inside Azure, and the model is a deployment decision for your instance rather than a rewrite. A provider your organisation already trusts, a commercial agreement you hold, or open weights under your own governance can be evaluated for your deployment.
The ground truth
The engine reads the whole document pair and finds omissions, altered names, dates and figures, changed case references and meaning inversions on its own.
Glossaries make it yours from the first job: upload a two-column list and attach it to the document pair it applies to, whether it holds your firm's house terminology, a client's defined terms, or the terms of one contract. The analysis follows those terms and flags every departure.
Firms with translation memories can add them to their instance, partitioned per client, so findings also follow the precedent and style you have established with that client. Your instance learns your vocabulary and your clients', job after job.
Step 3
The complete report: every finding with severity, category, excerpt and suggested fix. Bilingual (English and Spanish) and downloadable as Word.
Two views by design: a high-level summary for the end client, full detail for the reviewing translator.
An expert translator corrects the document, assisted by the report. Orders flow through a shared queue with atomic assignment, delivery tracking and automatic client notification.
An add-on to Human Review for documents that must stand before authorities: the deliverable carries the certifying translator's signed statement of accuracy, seal or sworn certification, as the jurisdiction requires.
Human review is part of every deliverable tier. The AI proposes, the expert owns the result.
Operations
The workflow ships complete: credit-based billing with prices you configure, friendly order IDs your team can quote, monthly consumption counters, and full transparency for administrators.
Clients top up credits with a unique pay code and the payment page you already use, a Stripe payment link, PayPal or your own checkout; no card data touches the platform. Your ticketing (email or Zendesk) is notified automatically as orders move.