In the last year the major eDiscovery platforms folded generative-AI review into their base pricing. The capability stopped being a differentiator. At the same time, courts began restricting which AI may touch confidential evidence at all — and the honest answer to that restriction is architectural, not contractual. That is the company.
Each is a matter of public record. Together they describe a market that has commoditised the feature we are not selling, and opened a gap we are.
Between late 2025 and early 2026 the leading platforms moved generative-AI review into all-inclusive per-gigabyte pricing. Selling “AI review” as a premium feature is over. Whoever competes on that axis alone is competing on price.
The first significant ruling on generative-AI review held it to be a form of technology-assisted review under the existing rules, rather than a novel methodology deserving heightened scrutiny. The bar to adoption came down, not up — which accelerates the whole category.
Courts have begun restricting the use of mainstream AI tools on confidential material unless the provider is barred from retaining or training on what it sees. Cloud vendors answer that with a contract. Only local architecture answers it structurally.
Sources for each of the above — rulings, vendor pricing announcements, and the underlying competitive research — are cited in full in the pitch materials.
Relativity has publicly announced that its on-premises Server product will accept no new matters after January 1, 2028. The firms, agencies, and defense teams that chose on-premises deployment for a reason — classified work, sealed matters, confidentiality obligations that a contract does not satisfy — have a fixed deadline and no like-for-like destination. No major platform offers air-gapped generative-AI review today.
Their AI is architecturally bound to third-party cloud models. Serving this segment is not a feature they can ship; it is a rebuild of the thing their economics rest on.
We do not claim a better model. We claim the only place some evidence is permitted to be processed — on hardware the client controls, with no outbound inference.
Self-hosted models change the unit economics of AI review rather than the sticker price. What that permits commercially is covered in the pitch.
The most common failure mode in this category is a demo with a services company behind it. What follows is measured from the build itself, and stated with its limits.
Identification through in-court presentation, on one case file and one audit ledger — not an integration of separate products.
Verified by automated HTTP probes against running services, not by a checklist. The remaining seven are front-end and library functions with no service endpoint to probe.
Document processing, OCR, and rendering are built in-house in Rust rather than outsourced — the layer most review platforms buy or partner for.
Figures above are drawn from the build’s own manifest and its most recent automated validation run. The platform is pre-launch and in active development. We publish no accuracy or throughput benchmarks, because we have not yet run and validated them to a standard we would defend in a deposition. That work, and its current honest state, is covered in the pitch.
Pre-revenue and pre-launch. A founding cohort of litigation teams is forming now. The platform runs; the commercial proof does not exist yet, and we would rather say so here than have you discover it in diligence.
The full discovery lifecycle, the strategy layer, the forensic engine, and self-hosted inference — running today on real public corpora.
Benchmark validation, the packaged validation artifact, security certification groundwork, and practitioner validation of the criminal-procedure workflows.
Published accuracy figures, customers, revenue, or security certifications. Anyone claiming otherwise at this stage is describing a roadmap.
Competitive analysis with citations, the patent portfolio, unit economics, the go-to-market, and a live walkthrough of the platform on a real corpus — shared directly, under NDA where appropriate. Tell us who you are and we’ll set it up.
Request the pitchImportant. This page is provided for information only. It is not an offer to sell, or a solicitation of an offer to buy, any security, and it is not a recommendation to invest. Statements about future development, market conditions, and competitive position are forward-looking and subject to change. Capability described reflects a platform in active development; figures are drawn from internal build and validation records as of the date of publication, and are available for verification in diligence.