48-hour verdict

Delivered outcome · production evidence

Private legal documents became a secure conversational research system

Legal professionals needed to research large, sensitive document collections without repeatedly searching files manually or relying on general-purpose AI disconnected from their private case materials.

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Delivered outcomeTurned uploaded legal documents into private, searchable conversational knowledge while preserving account-level separation, secure access, and research continuity.

What Zenveus built

The work behind the result.

A secure conversational legal research platform with private document upload, Amazon Bedrock Knowledge Bases, hybrid retrieval, user-specific knowledge sources, contextual follow-up, persistent conversations, Cognito authentication, encrypted APIs, and Stripe subscriptions.

WORKSTREAM / 01

Private document ingestion

Created secure uploads with presigned S3 access and user-specific knowledge sources so each account’s legal material remained separated.

WORKSTREAM / 02

Grounded conversational research

Built Bedrock Knowledge Base and OpenSearch hybrid retrieval, contextual follow-up, and persistent conversations over private document collections.

WORKSTREAM / 03

Secure SaaS infrastructure

Implemented Cognito identity, encrypted APIs, VPC endpoints, serverless services, DynamoDB state, and Stripe subscriptions around the research product.

Implementation stackCapabilities used in delivery
ReactTypeScriptTailwind CSSMaterial UINode.jsExpressAWS LambdaServerless FrameworkAmazon BedrockBedrock Knowledge BasesAmazon OpenSearch ServerlessAmazon S3Amazon DynamoDBAmazon CognitoAWS VPC endpointsStripe

Engineering takeaway

Document-grounded legal AI requires retrieval quality, source isolation, secure file handling, persistent context, and cloud controls around the model—not only a chat interface.

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The services behind this outcome.

Start with the part of the system that matches your constraint. We will scope the smallest engagement that creates usable production evidence.

Service / 01

Agentic AI & Workflows

Design grounded agents, retrieval systems, guardrails, and production AI workflows.

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AWS DevOps

Engineer cloud infrastructure, security controls, deployment automation, monitoring, and cost discipline.

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SaaS Development

Build maintainable SaaS platforms with permissions, billing, integrations, and operational tooling.

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