
The Noxtua Model System
Noxtua provides Legal AI that is tailored to the specific needs of European legal professionals. Legal AI that they can trust on every level. This page serves to provide detailed information on the model system and categories so that clients can make informed decisions on which option serves their needs best.
With the two-tier model strategy, Noxtua offers clients the freedom to choose the best matching option for their specific needs. Across Europe, the judiciary, public administration, legal departments, and law firms of all kinds and sizes have different requirements and needs. Noxtua caters to these different requirements and needs.

Sovereignty and resilience
European digital sovereignty is key and Noxtua's two-tier strategy offers resilience and sovereignty through diversification in a European setup. Noxtua offers access to international, closed-source frontier AI models with some of the highest security standards with durable data stored on Noxtua’s European-controlled infrastructure (including zero data retention during processing, no training, and contractual confidentiality undertakings covering lawyers’ professional secrecy). Additionally, Noxtua is the only Legal AI that offers the option to exclusively host the entire system on sovereign European-controlled infrastructure for clients with the highest needs such as the judiciary or the government (public administration).
Flexibility and freedom of choice
The model categories give flexibility in a time of rapidly evolving model development and define criteria for the base models. The specific models might also change as the state of the art evolves, and after we have tested them thoroughly. In Noxtua NextGen, Minerva is the default; each organization’s administrators choose the category that fits its needs: Minerva for the highest performance requirements or Athena for the highest sovereignty requirements (e.g., for the judiciary).


Closed- and open-source models
With the model strategy, Noxtua offers different product versions based on closed- or open-source models. Closed-source models are proprietary models that keep the model’s code and weights (trained parameters) private (example: GPT-Sol, Gemini). Open-source models can be downloaded, run locally, fine-tuned, and built upon, completely independent of their original creator. Open-source models in the wider sense include open-weights models that release only the weights (trained parameters). However, they can’t be recreated from scratch because the training code and data often stay private (example: Mistral, GLM). Open-source models in the strict sense also release the training code and data so that they can be recreated from scratch.
Noxtua offers different categories with different base models in the AI system. These base models are combined in the Noxtua AI system with an additional set of specialist models for OCR, search, and voice which are hosted on European infrastructure.
Across every category, inputs and outputs are not stored by the model provider and are not used for training (zero data retention). The clients’ conversation history, which enables them to return to their work across sessions and interfaces, is stored by us in encrypted storage on our own European infrastructure (Deutsche Telekom and IONOS), and never on a model provider’s systems. Clients can decide how long this history is kept and when to delete it.
Submodels in the Noxtua model system
The OCR, Voice, and Search models all run on Noxtua's own sovereign European infrastructure (Deutsche Telekom/T Cloud Public and IONOS) and the models themselves retain no data. Noxtua runs self-hosted copies of these models on our own infrastructure. The models are completely disconnected from the original model creator. Therefore, it is technically impossible for the original creator to access the models or any of their in- or outputs.
Transforming texts: OCR model
Our OCR model turns every uploaded page into structured, searchable text: scans, faxes, exhibits, handwritten notes, stamps and tables. Every document workflow passes through it. Processing takes place on Noxtua’s own European infrastructure (T Cloud Public and IONOS).
Model: currently LightOnOCR-3-1B (open weights)
Creator: LightOn (France) | LightOnOCR-3-1B
Operation: own infrastructure T Cloud Public and IONOS, confidential
Role in the system: active in every workflow, regardless of which category was chosen
Search, embedding and retrieval across legal content: Noxtua Voyage Embed
Noxtua Voyage is our search model. It turns legal text into numerical coordinates (embeddings), so the system can find the relevant provision, commentary, or precedent by meaning rather than by keyword. It is specifically post-trained by Noxtua for legal content and terminology. Processing occurs on Noxtua’s own European infrastructure (T Cloud Public and IONOS).
Model: currently Voyage Law, post-trained by Noxtua for legal content
Creator: MongoDB (USA) | Voyage AI by MongoDB - Voyage AI by MongoDB - MongoDB Docs
Operation: own infrastructure T Cloud Public and IONOS, confidential
Role in the system: powers search and retrieval in every workflow, regardless of which category was chosen
Voice Input & Dictation: Voice model
Dictation is how a large part of the profession works. The Voice model transcribes speech to text inside the product, on our own infrastructure, so the audio never leaves our environment. Users’ voice and any spoken information remain fully confidential. Noxtua only transcribes speech between the moments users start and stop voice Input, and only once they have granted the necessary permissions. The audio is processed only in temporary memory, never logged or stored anywhere, and is deleted the moment transcription finishes. Processing takes place on Noxtua’s own European infrastructure (T Cloud Public and IONOS).
Model: currently Whisper Large v3 Turbo (open weights)
Creator: OpenAI (USA) | openai/whisper-large-v3 · whisper large v3 turbo
Operation: own infrastructure T Cloud Public and IONOS, confidential
Role in the system: available in every workflow, regardless of which category was chosen
Operations & security:
our contractual framework
For our self-hosted models: Under our technical and contractual setup, the infrastructure provider has no access to client or case data, and the models run with hash-verified weights (a check confirming the model file is genuine and has not been altered), disconnected from the original creator. The models run in our environment with no outbound network path to the original creator, who therefore has no access to the models or to any inputs or outputs.
With the new NextGen, Noxtua is introducing a multi-access approach in the Minerva Agent to increase the resilience through further diversification, with models running in EU data centers. Across every category, inputs are used only to answer the request, are not used to train the underlying models, and are subject to zero data retention during processing, which means that inputs and outputs are not stored by the model provider, including for the closed-source models on all Minerva access paths. As a result, the model providers do not maintain a permanent database that could be the subject of a potential request for disclosure.
This must be distinguished from a client’s conversation history. In order for clients to be able to return to their work across sessions and interfaces, Noxtua stores their conversations in encrypted storage on our own European infrastructure (Deutsche Telekom and IONOS), and never on a model provider's systems. Clients can decide for how long this history is kept and when to delete it. Where a matter cannot accommodate even a theoretical residual risk of access by non-European authorities, Athena provides a category with no US provider in the processing chain.
The entire chain in both categories is built to satisfy the confidentiality undertakings covering lawyers’ professional secrecy.
Noxtua is certified to ISO 27001, ISO 42001, ISO 9001, ISO 27017, and ISO 27018, and holds a BSI C5 attestation, a SOC 2 report, and a TISAX label.
Last updated: 29 October 2026




















