Atlas Agents: How Agentic Document Review and Drafting Works at Scale

The Atlas Agent Layer: Two Jobs, One Execution Engine

AtlasAI Singularity v6 runs on a continuously curated knowledge graph built from your firm's iManage, SharePoint, OneDrive, NetDocuments, and email. That curation - reading, classifying, linking, and refining new content as it lands - is agentic. So is the work inside Workspaces: document review, finding rollup, and drafting.

Atlas Agents handle both. Inside Workspaces they run substantive review workflows at scale. Outside Workspaces they maintain the knowledge graph itself. Both tasks run on the same execution layer, so the agents that review your contracts are the same agents that learned from your firm's prior deals.

Document Review and Drafting Inside Workspaces

A Workspace is a matter-scoped environment where your team uploads documents and agents take over the review. Here's the motion:

Upload and classify. Drag 200 closing documents into a Workspace. Agents immediately classify them - SPA, schedules, exhibits, side letters - and route them into folders. This happens in parallel; classification takes seconds, not hours.

Pre-review. Agents run privilege checks (attorney-client, work-product), conflict screening, and scope validation. Documents that don't belong get flagged and routed out. The ones that stay move to substantive review.

Substantive review. Agents read every document and extract what matters: representations and warranties, indemnification terms, confidentiality clauses, payment terms, termination provisions. They build tabular reviews - one row per clause or finding, columns for location, language, risk level, and notes. For M&A deals, agents extract indemnification thresholds, caps, baskets, and survival periods into a single structured table. For contracts, they flag missing or non-standard language.

Post-review drafting. This is where Atlas Agents shine. From the tabular findings, agents draft new client documents: SPA markups highlighting proposed changes, indemnification schedules rolling up all caps and baskets from the review, privilege logs listing every attorney-client communication, due-diligence memos summarizing deal risks. These documents land back in the Workspace as PDFs ready to send.

All of this runs against your curated knowledge graph. When agents extract indemnification language, they're comparing it to 50 prior deals stored in the graph. When they draft an SPA schedule, they're pulling from your firm's standard form precedents. The output is specific to your firm, not generic.

Continuous Knowledge-Graph Curation

Outside Workspaces, Atlas Agents run asynchronously on every file that lands in iManage or SharePoint. New contracts are uploaded; agents read them, classify their type and practice area, extract key terms, and link them to similar documents already in the graph. A new M&A closing docket arrives; agents parse it, extract key dates and parties, and connect it to the deal matter and related documents. A precedent is added to a SharePoint library; agents ingest it and make it queryable from chat and Lists.

This happens continuously. Your knowledge graph doesn't sit static; it grows and reshapes itself as your firm works. When you ask an agent to draft an NDA, it's drafting from graph content that was curated by agents reading your actual prior NDAs - not from generic LLM training data.

Recent work shipped this week: refined agent dispatch so workflow-planner tasks move faster from chat into Workspace execution, and shipped M365 admin-consent flows so new tenants can connect iManage and SharePoint with a single click. Both unlock faster onboarding and tighter agent-to-graph coupling.

Real Workflows: How AmLaw Teams Use This

M&A closing. Upload 150 closing documents. Agents review, extract indemnification caps and baskets into a summary table, and draft an indemnification schedule the buyer can review immediately.

Discovery privilege logging. Upload 10,000 emails and documents from a litigation hold. Agents apply your firm's privilege criteria (attorney role, confidentiality notation, legal advice purpose), generate a privilege log, and flag over-produced documents.

Contract standardization. Route all vendor agreements to a Workspace. Agents review for non-standard payment terms, survival periods, and liability caps; draft a memo flagging deviations from your standard form; optionally auto-generate redline PDFs.

Knowledge base curation. As your team uploads precedents, side letters, and playbooks to SharePoint, agents automatically classify them, extract key terms, and link them to related matters. Your knowledge graph becomes a living record of your firm's prior work.

How to Try It

Visit https://atlas-ai.io to see Workspaces, agent task boards, and the tabular review interface. Upload a sample set of documents or connect your iManage/SharePoint instance to let agents begin curating your graph. The agentic execution layer is live across all surfaces - come see what your agents can do.