Atlas Agents: Multi-Step Execution on Your Firm's Data

What Are Atlas Agents?

Atlas Agents are the execution layer of Singularity v6. They do two things: inside Workspaces, they run agentic document review and drafting at scale; outside Workspaces, they continuously curate your firm's knowledge graph by reading, classifying, linking, and refining new content from iManage, SharePoint, OneDrive, and email as it lands.

The key difference from generic AI agent frameworks is grounding. Atlas Agents don't run off a generic LLM. They run against your firm's curated knowledge graph, which means they see your templates, precedents, diligence frameworks, clause libraries, and prior deal work. When an agent extracts an indemnification clause from a new SPA, it's comparing against your firm's indemnification precedents. When an agent flags a conflict, it's checking against your firm's prior matters. When an agent drafts a diligence memo, it's pulling language and structure from your firm's prior diligence work. The agent's output is grounded in your work.

How Agents Work Inside Workspaces

Inside a Workspace, you upload hundreds of documents at once. Atlas Agents then:

1. Classify and route: Read each document, determine its type (SPA, exhibit, schedule, compliance questionnaire), and route it to the right review bucket.

2. Run pre-review processes: Check for privilege, conflicts of interest, and scope issues in parallel across all documents.

3. Execute substantive review: Extract key clauses, flag R&W scope gaps, identify indemnification caps, extract closing conditions, generate redlines, compare language to firm precedent. All in parallel, all logged in inline tabular reviews so you can see and edit what the agents found.

4. Run post-review and draft: Aggregate findings across all reviewed documents, then draft new client documents from the analysis: SPA markups, NDA revisions, indemnification schedules, diligence memos, closing checklists. The agents write these documents back into the Workspace.

Every step is visible. You can see the agent task board, watch agents work, review their intermediate findings in the tabular review editor, and edit or override results before the agents move to the next step. The whole motion is: upload → agents classify and route → agents review hundreds in parallel → agents draft from findings.

How Agents Curate Your Knowledge Graph

Outside Workspaces, Atlas Agents continuously curate your firm's knowledge graph. When a new contract lands in iManage or SharePoint, an agent reads it, extracts its metadata (parties, dates, deal type), extracts key clauses and terms, compares it to related documents in the graph, and links it to prior matters and templates. The agent also classifies the document's content into the knowledge graph structure your firm uses: M&A deals, IP portfolios, litigation cases, regulatory filings, etc.

This means the graph is always fresh. It's not a one-time ingestion dump. As your firm's work accumulates, the graph grows and refines itself. Agents re-read documents, spot new connections, surface precedent, and keep the graph sharp. Every time another Atlas agent runs a review workflow inside a Workspace, it's running against a knowledge graph that's been curated by agents to reflect your firm's actual practice.

Building Reusable Agent Workflows with Lists

You don't reprogram agents for each matter. You build agent workflows once as Atlas Lists, then run them on every new matter.

An M&A team builds a Deal Review List: extract key terms, compare to firm precedent, flag missing reps, generate redlines, draft closing memo. Once built, that list runs the same way on every new transaction.

An IP team builds a Patent Diligence List: extract claims, cross-check against prior art search, flag freedom-to-operate risks, generate diligence summary. That list runs the same way on every new invention disclosure.

A litigation team builds a Privilege Review List: classify documents by privilege type, flag inadvertent disclosures, flag work-product concerns, generate privilege log. That list runs on every document collection.

Lists are sequences of agentic actions, all orchestrated and auditable. The inputs are documents in a Workspace. The outputs are new documents the agents generated, plus structured findings in tabular reviews. The whole workflow is logged, so you can audit exactly what the agents did and why.

Concrete Example: Recent Shipping

This week we shipped the planner layer that converts natural language into multi-step agent execution. When you ask an agent to "review this deal and draft an SPA markup," the planner breaks that down into a sequence of steps: classify documents, extract key terms, identify changes, generate redlines, format the markup. The planner manages token budgeting across all those steps, and if a step hits context limits, it truncates and recovers gracefully so the workflow completes even on very large documents.

We also shipped auto-generated folders for agent results. As agents execute tasks inside a Workspace, they organize their own output into folders: "Extracted Clauses," "Flagged Issues," "Generated Documents." You don't organize agent work manually. The agents do it themselves based on the workflow.

What This Unlocks

Atlas Agents unlock the core AtlasAI motion: upload firm data (iManage, SharePoint, prior work), curate it into a knowledge graph, then run agentic review and drafting workflows on new matters using that curated graph as context. Your agents run faster because they're comparing against your precedent, not guessing. Your reviews are more consistent because they're based on your firm's actual practice. Your drafting is faster because it's pulling from your templates and language.

For AmLaw firms, this means: your M&A team runs the same Deal Review workflow on every transaction and gets consistent analysis grounded in your deal precedents. Your litigation team runs the same Privilege Review on every document collection and gets consistent flagging grounded in your privilege frameworks. Your IP team runs the same diligence workflow on every invention disclosure and gets consistent analysis grounded on your prior patents and freedom-to-operate work.

Try It

Visit https://atlas-ai.io to see Atlas Agents in action. We run real agent workflows on real firm data every day. Create a Workspace, upload documents, and watch the agents work. Build a List for your practice area, then run that same list on your next matter.