Legal Tech · eDiscovery

DecoverAI

RAG + privilege review over 1M+ legal documents on Pinecone and AWS EKS. Helped the client raise $2M+ seed from Silicon Valley VCs.

Tech Stack:PythonNode.jsPineconeMongoDBAWS EKS

The Problem

US litigation regularly forces teams to review hundreds of thousands to millions of documents for responsiveness, privilege, and confidentiality. Traditional eDiscovery is slow, expensive (often seat-based), and error-prone under deadline pressure. The client needed a defensible, cloud-native system that could scale to million-document matters without blowing up the review budget.

The Solution

Apex36 built an AI-powered legal discovery platform that automates document classification, privilege review, redaction, and production for litigation and regulatory investigations. A RAG + semantic search pipeline operates over case document corpora for relevance detection, while AI-driven classification handles responsiveness and attorney-client privilege with confidence scoring. Automated redaction with attorney override, Bates numbering, and privilege log generation keep output defensible. Full audit trails on every AI decision, attorney override, and production run support legal defensibility at million-document scale on AWS EKS.

Features

RAG + semantic search pipeline

Retrieval-augmented generation over case document corpora for relevance detection and evidence analysis, with a re-ranking layer for precision.

AI document classification

Automated classification for responsiveness and attorney-client privilege with per-decision confidence scoring and attorney override authority.

Automated redaction & production

Attorney-override redaction with automated Bates numbering and privilege log generation, output meets production standards out of the box.

Chronology Viewer

Timeline reconstruction across evidence sets for case narrative building and deposition preparation.

Full audit trail

Every AI decision, attorney override, and production run logged with a complete audit trail, designed for legal defensibility.

Cloud-native scale

Cloud processing on AWS EKS sized for matters of 1M+ documents, with asynchronous ingestion and classification queues.

Results / Impact

$2M+ seed funding

raised from Silicon Valley VCs on the platform Apex36 built.

10+ US law firms

deployed the platform in production.

80% reduction

in review volume for end users.

30,000 documents / 3 days

1M+ documents supported in complex cases.

$147K+ saved

on one large production versus conventional associate-led review.

$60/GB per month

all-inclusive pricing with no seat fees and no long-term contracts.

FAQ

DecoverAI is priced at $60/GB per month, all-inclusive, no seat fees, no long-term contracts. On one large production the client saved over $147,000 versus conventional associate-led review.

Yes. The platform generates a complete audit trail on every classification and redaction, and keeps attorneys in the loop with override authority on every AI decision. Privilege logs and Bates numbering are generated automatically to meet production standards.

The platform has been used on matters exceeding 1 million documents and processes roughly 30,000 documents in 3 days. A partner at a client firm stated on-site that a two-week associate review task was completed by DecoverAI in 40 minutes.

Apex36, a Mumbai-based AI/ML and full-stack software studio. The platform enabled DecoverAI to raise $2M+ in seed funding from Silicon Valley VCs.

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