Neur.on is a Swiss legal-translation and translation-workflow startup focused on lawyers, tax advisers, financial professionals, legal publishers, and cantonal public authorities rather than generic multilingual productivity. Its flagship product, LexMachina, is a translation engine built for Swiss lawyers; Corrext is a review-oriented translation management system that calculates effort, chooses engines, and equips human reviewers with NLP tools and a collaborative interface. Third-party coverage is stronger than the local stub suggests: Startupticker and Alp ICT reported a CHF 1.6M seed round in 2022, and both describe LexMachina as already being used intensively by large Swiss law firms, legal publishers, and cantonal public authorities. The company positions itself as a Hieronymus spin-off (‘translations by lawyers for lawyers’), which matters because the core wedge is not raw machine translation speed but legal-domain accuracy, confidentiality, and control over the review process. Public pricing and community sentiment are absent. Security and hosting claims are more concrete than many language-tech vendors: Swiss servers, confidentiality focus, and public material stating the platform is hosted in a secure Swiss-based cloud. Best fit: multilingual Swiss/EU legal work where firms need faster turnaround than external translation alone can provide but cannot accept generic MT risk on privileged or filing-sensitive documents.
Company Info
- Founded: 2022
- Team size: 11-50 employees
- Funding: $1.7M
- HQ: United States
- Sector: Gen, AITranslation Software
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Neur On is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Neur On addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Partner at a Montreal firm closes a cross-border acquisition and every closing document needs to be translated into French for Quebec regulatory filings — the external translation vendor takes 3 days and costs $15,000, but the deal timeline allows 24 hours and the associate is manually fixing legal terminology errors in the translations
In-house counsel at a federally regulated financial institution must file compliance documents in both French and English under Quebec language laws — the internal translation queue is 2 weeks long and hiring certified legal translators at $0.30/word makes routine filings prohibitively expensive
Litigation team receives 50,000 documents in French as part of a regulatory investigation — reviewing them all in the original language would require bilingual reviewers at 3x the cost, but machine-translated versions lose the legal nuance that matters for privilege and relevance calls
Where it fits in your workflow
Before Neur On
A law firm or legal team receives foreign-language documents or needs bilingual output for transactions, compliance filings, opinions, or litigation review, and the existing choices are either slow expensive human translation or generic MT that cannot be trusted with legal nuance and confidentiality.
After Neur On
After Neur.on translates or orchestrates the translation workflow, lawyers or reviewers validate the output, finalize certified or reviewed translations, and use the resulting documents for negotiations, filings, bilingual document review, or client advice.
Integrations & hand-offs
Lawyers or legal operations teams send documents into LexMachina or Corrext; machine translation and workflow routing happen inside the platform; vetted internal or external reviewers refine the output; final translations move back into the matter, filing, or review workflow.
Also used by similar teams
Community Data
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