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Litigo product · Discovery

Discovo

GPU-scale discovery review, privilege, and relevance in hours not weeks. Discovo ingests the full document set and classifies relevance, privilege, and responsiveness — across text, scanned images, and embedded exhibits.

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Computer vision Multimodal AI Active learning

Primary hardware · H100 / A100 / L4

The problem

Discovery buries associates. A single commercial matter can hold millions of documents. Manual review costs $200–$700/hr, misses hot docs, and leaks privilege — while legacy e-discovery leans on shallow keyword rules and slow, CPU-bound classifiers.

What Discovo does.

A GPU-accelerated multimodal pipeline — every decision explainable and human-reviewable.

Classification

Relevance, privilege, responsiveness.

Classify and issue-tag the full document set at scale, not by keyword guesswork.

Surfacing

Hot docs & key admissions.

The documents that change the case, pulled to the top automatically.

Vision

OCR for exhibits.

OCR plus vision for scanned and image exhibits, not just clean text.

Privilege

Logs & redactions.

Privilege-log drafting and redaction suggestions, reviewer-checked.

Learning

Active-learning loop.

Every reviewer decision sharpens the next batch's calls.

Built on the NVIDIA stack.

Layer	Technology	Why it's here
Hardware	H100 / A100 · DGX · L4	Training and serving classifiers over multi-million-document sets; cost-efficient high-throughput inference.
Vision	CV-CUDA · DALI · nvJPEG · RAPIDS	GPU image decode and preprocessing for scanned exhibits; clustering and near-duplicate detection.
Serving	TensorRT · Triton	Batch inference throughput across the whole corpus.
Platform	NVIDIA AI Enterprise · NIM	On-prem / air-gapped review for confidential matters.

Decoding millions of images, embedding and classifying every document, and near-duplicate clustering are GPU-bound. CV-CUDA + DALI + Triton process a matter in hours where CPU pipelines take weeks.

Why it holds up.

An order of magnitude faster

An end-to-end GPU pipeline processes matters far faster than CPU e-discovery, with multimodal coverage legacy keyword tools lack.

A compounding review corpus

An active-learning corpus of privilege and relevance decisions per firm compounds accuracy — and is hard to replicate.

Priced with the matter

Per-GB-indexed and per-document-reviewed pricing inside Litigo, with an enterprise on-prem tier for confidential work.

Defensible by design

Every call is explainable and human-reviewable, so AI-assisted review stands up to scrutiny.

Part of the ecosystem

Discovo produces the clean, tagged evidence the rest of the platform runs on — feeding Deposa, Verdex, and the Litigo agents from one shared ingestion and storage layer.

Review a matter in hours.

See Discovo run on a real document set, in 30 minutes.

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