In-house product · Live · invite-only

LexVault

AI-native contract lifecycle platform, draft, review, redline, sign, and collaborate, with every AI answer grounded to an exact, verified line citation.

LegalTechAI-NativeCLMRAG
LexVault, AI product case study website preview
  • 01

    Line-cited answers with server-side citation validation

  • 02

    DAG workflow engine with human-in-the-loop approval gates

  • 03

    Microsoft 365, Gmail, iManage, NetDocuments, and calendar integrations

  • 04

    MCP protocol endpoint for agent-accessible contract context

Why it exists

Legal teams manage contracts across email threads, shared drives, and static templates with no structural verification layer. Existing AI contract tools either answer with confident-sounding guesses that aren't traceable to the source document, or bolt AI onto a workflow that doesn't talk to the firm's actual infrastructure, DMS, calendar, e-signature, org hierarchy. Teams need answers that point to a specific line, not a plausible one.

What it does

LexVault is a full contract lifecycle platform: draft, review, redline, sign, collaborate, wrapped around an AI layer where every claim is server-side validated against exact line ranges in the source document before it reaches the user.

On top of that: DAG-based approval workflows with human-in-the-loop gates, DMS integrations (iManage, NetDocuments), calendar sync, and multi-tenant org management with seat-based billing.

This is an in-house product we sell and operate, not a one-off client build.

In production

  • Every AI citation is validated server-side against exact document line ranges before it's shown, failed citations return a fallback, never a fabricated reference
  • 20+ database tables span contracts, workflows, vaults, and a 365-day compliance audit trail
  • Runs as a 4-app system (product app, marketing site, admin panel, background worker) in production on AWS

Product surface

Platform
Web, product app, marketing site, and admin panel as separate deployments
Core AI
Anthropic Claude, hybrid RAG (vector search + structural document indexing) for line-cited answers
Automation
DAG-based workflow engine with human-in-the-loop approval gates
Integrations
Microsoft 365, Gmail, iManage, NetDocuments, Google/Outlook Calendar, MCP protocol endpoint

Stack

AI / ML
Anthropic ClaudepgvectorOllama (fallback)Hybrid RAG
Backend
Node.jsExpressDrizzle ORMPostgreSQL (Neon)
Frontend
Next.js 14React 18TypeScriptTailwind CSSBlockNoteTiptapLiveblocks
Infrastructure
AWS EC2DockernginxCloudflare R2Cloudflare Workers

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