Corpix

The on-prem legal model foundry: fine-tuning and synthetic data for firms. Own a private, jurisdiction-tuned model trained on your corpus — running in your own environment, cloud, VPC, or air-gapped.

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AI infrastructure Synthetic data Fine-tuning

Primary hardware · DGX / H100 / GB200

The problem

Big firms and regulated clients can't send privileged data to hosted APIs, and rare jurisdictions have too little training data. There's no way for a firm to own a private, jurisdiction-tuned legal model trained on its own corpus without exposing it.

What Corpix delivers.

Litigo's model foundry — the infrastructure backbone the whole ecosystem runs on.

Fine-tuning

On your own corpus.

Firm-private fine-tuning on your matters, with a federated option — the data never leaves your control.

Synthetic data

For sparse jurisdictions.

Privacy-safe synthetic legal data to cover rare practice areas and augment thin corpora.

Distillation

Cheap on-prem inference.

Model distillation shrinks cost for private serving.

Evals

Regression per model.

Eval-set synthesis and regression testing on every model you own.

Deployment

Air-gapped packaging.

Air-gapped packaging and full lifecycle management.

Built on the NVIDIA stack.

Layer	Technology	Why it's here
Hardware	DGX · H100 / H200 · GB200 · RTX	Multi-GPU fine-tuning and distillation; private inference in the firm's own environment.
Training	NeMo · NeMo Customizer · Megatron Core · NeMo Curator	Fine-tuning, large-model training, and synthetic-data / curation pipelines.
Serving	CUDA · cuDNN · TensorRT · Triton	Optimized private serving of the models you own.
Platform	NVIDIA AI Enterprise · NIM · Fleet Command	Supported deployment and management of private models on-prem or air-gapped.

Fine-tuning and distilling large legal models and generating synthetic corpora are the definition of GPU-essential, multi-GPU jobs on DGX/H100 with NeMo and Megatron. No CPU path exists at this scale.

Why it holds up.

You own the IP

Corpix turns every Litigo customer into an owner of private legal-model IP with data residency — something API-only competitors structurally cannot offer.

Proprietary recipes

Legal fine-tuning recipes, synthetic-data generators, and eval suites are proprietary; the federated setup deepens lock-in with regulated buyers.

High-ACV enterprise

Managed fine-tuning, on-prem / VPC licensing, and synthetic-data packs — plus recurring model-maintenance and re-training revenue.

Data residency by default

Runs where your data already lives: cloud, VPC, or fully air-gapped for the most sensitive matters.

Part of the ecosystem

Corpix is the backbone: it trains and serves the models Verdex, Citel, Discovo, Deposa, and the Litigo agents all run on — staying entirely within AI litigation.

Own your legal model.

Talk to us about a private, air-gapped deployment.

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