How does Molten8 ensure Chinese Wall separation between legal matters?

Each matter runs in its own isolated database schema with separate PostgreSQL instances, AI agent contexts, and team access. There is no data path connecting one matter to another — this is architectural separation, not permissions-based access control.

Can multiple attorneys collaborate on the same case with AI?

Yes. Within a single matter environment, all team members share context, documents, and AI memory. When one attorney researches a precedent, that knowledge is immediately available to the entire case team — unlike generic AI chat tools where each user starts from scratch.

How much does Molten8 cost compared to ChatGPT Team for a law firm?

A 10-person firm using ChatGPT Team pays approximately $300/month in per-seat fees. With Molten8's API model, the same firm typically pays $80-150/month based on actual AI usage, with full matter isolation, team collaboration, and local data storage included.

Where is law firm data stored with Molten8?

All data is stored on your own hardware or a dedicated managed server. Documents, case memory, research, and conversation history live in a local PostgreSQL database. AI providers never store, log, or train on your case data.

What happens when a legal matter closes?

The entire matter environment is backed up and archived as a complete snapshot. It can be restored if needed for appeals or audits. Nothing lingers in active systems after archival.

AI for Law Firms — Private, Secure, Chinese Wall Architecture

The Problem

Why Off-the-Shelf AI Fails Legal

ChatGPT Team, Copilot, and other SaaS AI tools store your conversations on THEIR servers
Your case strategy, privileged communications, and client data sit on infrastructure you don't control
There's no Chinese Wall between matters — one compromised account exposes everything
Per-seat pricing means firms either overpay or share logins (destroying audit trails)
Memory doesn't persist across team members — each attorney starts from scratch

Our Solution

Private AI Environment

Chinese Wall Between Matters

Every case runs in its own isolated environment — database-level separation, not permissions toggles. Attorneys on Matter A have zero access path to Matter B. No query, no API call, no accident crosses the boundary.

Team Collaboration Within a Matter

Unlike generic chat tools, context persists across the entire case team. When a paralegal researches a precedent, that knowledge is immediately available to every attorney on the matter. Shared memory, shared documents, shared understanding.

Your Data Never Leaves

The entire stack runs on YOUR hardware (or a dedicated server we manage): Docker containers, PostgreSQL database, RAG layer, document store. Only the question goes to the AI provider. They never see, store, or learn from your case data.

Capabilities

Full AI Toolkit Per Matter

Capability	What It Does	Powered By
Legal Research	Precedent search, case law analysis, citation verification	Forge Recon + Claude Opus 4
Contract Analysis	Clause comparison, obligation extraction, risk flagging	Claude Code with legal prompting
Document Q&A	Upload depositions, contracts, briefs — queryable by entire team	Knowledge Agent + RAG
Document Summarization	Key takeaways from large document sets in seconds	Document Summarizer
Due Diligence	Multi-source research with structured fact extraction	Forge Recon
Drafting Assistance	Memos, briefs, correspondence with research backing	Forge Writer + Knowledge Agent
Meeting Notes	Transcribe depositions/meetings, extract action items	Meeting Notes Agent

Architecture

How It Works

Your Hardware (or dedicated managed server)

Matter A — Isolated

PostgreSQL — case documents, memory, RAG vectors AI Agents — Research, Analysis, Drafting Team — 3 attorneys, 2 paralegals (shared context)

Matter B — Completely Separate

PostgreSQL — different database, zero shared data AI Agents — same capabilities, zero cross-contamination Team — different team entirely

AI API (Claude / GPT) — stateless queries only, nothing stored

Cost

Cost Comparison

	ChatGPT Team	Microsoft Copilot	Molten8 Private
10-person firm	$300/mo (10 x $30)	$300/mo (10 x $30)	~$80-150/mo API usage
Matter isolation	No	No	Yes — database-level
Team shared memory	No	Limited	Full cross-team context
Data location	OpenAI servers	Microsoft servers	Your hardware
Training on your data	Opt-out available	Opt-out available	Impossible — stateless
Case archival	Manual export	Manual export	Automated backup + archive

Lifecycle

Case Lifecycle

Matter Opens

Environment provisioned, team assigned

→

Active Case

Full AI toolkit, shared context, ongoing research

→

Matter Closes

Entire environment backed up and archived

→

Appeals / Audit

Archived environment restored as-is

AI for Law Firms — Privacy by Architecture