Singularity v6: Building the AmLaw Data Layer Inside Your Tenant

The Shift: Data Inside, Not Out

For the last five years, legal AI has followed a simple pattern: bolt AI chat onto your file browser, send a document to the cloud, get an answer back. But AmLaw firms are done with that. After spending years rebuilding their data infrastructure (moving off OnPrem iManage to cloud, consolidating SharePoint sprawl, syncing NetDocuments), the last thing they want is to push that hard-won, curated data back out to a generic SaaS model to train someone else's LLM.

The shift is inward. Firms are asking: what if the AI layer lived inside our tenant, read from the systems we control, and got smarter by learning from the precedent, playbooks, and deal patterns we've built over decades?

What We Built

AtlasAI Singularity v6 is that inward layer. The platform ingests directly from iManage matter folders, SharePoint team sites, OneDrive, NetDocuments, and email. As new documents land, Atlas agents automatically classify them, link them to related matters and clauses, and refine the graph so it stays sharp. You don't stage data once; the graph self-updates.

This week we shipped the connectors that make that work at scale. SharePoint sync now reads structured folder and file metadata so teams can browse their team sites and import specific folders into the graph without IT. The cloud picker works across Microsoft 365 (SharePoint and OneDrive), Google Drive, and iManage - one interface for all of them. No separate vendor setup. No OAuth headaches. You pick your folders, we handle the rest.

The graph itself is curated, not just indexed. When you upload a 300-document deal room into an Atlas Workspace, the agents don't treat every document the same. They classify by type (SPA, schedule, disclosure, closing doc), extract key dates and parties, flag missing schedules, and link them to your firm's precedent. That curation happens automatically as documents land and continuously as the graph learns your firm's patterns.

Why This Matters for AmLaw Scale

Before: teams spent weeks in data rooms with spreadsheets, manually tagging docs, comparing to deal memos, drafting findings by hand. Outside counsel saw everything. Your precedent lived in iManage, your deal flow in NetDocuments, and there was no connection.

Now: upload the room into a Workspace, let agents curate and review in parallel against your firm's knowledge graph, and draft the SPA markups and closing checklists back into the workspace. All of it happens in your tenant. The graph gets smarter every deal.

Firms use this for M&A due diligence (200-document deal rooms reviewed in hours, not weeks), IP diligence (comparing patent portfolios to precedent), litigation document management (privilege review at scale), and compliance workflows (KYC/AML reviews grounded in your client history). Every use case rides on the same curated graph.

Concrete Example

An M&A team uploads a 400-document SPA and exhibits into a Workspace. The platform automatically syncs iManage and SharePoint to pull in your firm's last 10 SPA precedents and your M&A playbook (stored as Lists, which are reusable agent action sequences). The agents run pre-review (flag confidential info, check conflicts, scope the docs), then substantive review (extract key reps, warranties, and indemnification language), then post-review (draft redlines comparing to your precedent, generate the closing checklist). The entire flow is auditable, and every agent action is grounded in your firm's curated data.

How to Try It

Singularity v6 ships with four product surfaces, all riding on the same curated graph:

• Workspaces: Matter-scoped environments where agents review hundreds of documents in parallel and draft new client docs from the findings.
• Lists: Reusable agent workflows (playbooks) built once, run on every deal.
• Agents: Multi-step execution inside Workspaces and continuous curation of the graph as new content lands.
• MCP + API for Claude: Programmatic access to your graph so Claude (and any MCP-aware tool) can read your matters, documents, and clauses directly.

Start with a pilot Workspace on your next matter. Pick a folder of documents from iManage or SharePoint using the cloud picker. See how long it takes agents to curate them and run review. Then build a List for your practice area so every deal uses the same playbook. The graph compounds as you use it.

Your data. Your tenant. Your precedent. One platform.