Atlas Agents: Multi-Step Execution for Document Review and Workflow Automation

What Atlas Agents Do

Atlas Agents are the execution layer that powers agentic workflows across the Singularity platform. They run in two places: inside Workspaces where they review and draft documents at scale, and in the background where they continuously curate your firm's knowledge graph.

When you upload documents to a Workspace, Atlas Agents classify them, route them through review sequences, execute the substantive work (extracting clauses, flagging privilege, comparing to firm precedent), and then draft new client documents from the findings. A single agent can work on hundreds of documents in parallel, with each task visible on the agent task board so your team knows exactly what's executing and why.

Outside Workspaces, Atlas Agents read new content as it lands in iManage, SharePoint, OneDrive, and NetDocuments. They classify it, link it to existing documents and matters, and refine the knowledge graph so it stays sharp. This curation is continuous and automatic: you don't have to manually tag documents or build a taxonomy. The agents learn from your firm's work patterns and shape the graph accordingly.

The Execution Engine Behind the Platform

Atlas Agents share a common execution engine across both jobs. When you define an agent workflow in a Workspace, or when the platform automatically curates graph content, the same planner and task manager handle the logic.

The planner takes a high-level objective ("review these 200 NDAs and flag indemnification gaps") and breaks it into atomic tasks: read the document, extract the indemnity clause, compare it to precedent in the graph, flag any gaps, add the findings to the output. Each task is queued, executed, and tracked. If a task fails, the agent can recover gracefully or escalate. If multiple tasks can run in parallel, they do.

Recent work stabilized the planner's JSON parsing and added fallback logic so agents can reason through larger token budgets without getting stuck. Agent task boards now render in real time so your team can monitor what's happening in the Workspace without polling or guessing.

How AmLaw Teams Use Atlas Agents

Practice teams build agent workflows once and run them on every new matter. An M&A team creates a "Deal Review" workflow: upload 300 documents, agents classify them by type (agreements, cap tables, financial statements), run pre-review (privilege checks, conflicts), execute substantive review (extract R&Ws, flag indemnification provisions, compare to firm template), and draft marked-up SPAs and closing checklists back into the Workspace.

The first time you build that workflow, an attorney sits with an agent, defines the steps, and fine-tunes the output. After that, every new deal runs the same workflow automatically. It's the same process every time because it's not a generic prompt - it's a repeatable sequence of actions grounded in your firm's precedents and patterns, stored in your curated knowledge graph.

IP teams build "Patent Diligence" agents. Litigation teams build "Privilege Review" agents. Finance teams build "Cap Table Audit" agents. Once you've built it once, you run it everywhere.

What This Unlocks

Atlas Agents turn document review from a manual, per-matter process into a repeatable, auditable firm capability. You're not writing new prompts for every deal or case - you're defining workflows once, versioning them, and running them at scale.

Because agents run against your curated knowledge graph (not generic internet knowledge), they learn from your firm's work. They know your precedent templates. They know your conflict thresholds. They know which clauses matter most to your practice. The more documents you review with agents, the better the graph gets, and the smarter the agents become.

Multi-step execution also means agents can handle complex workflows. They don't just extract data - they compare to precedent, flag deviations, draft remedial language, and queue the findings for attorney review. All of that happens without human intervention between steps.

Try It

Visit atlas-ai.io to see Atlas Agents in action. Upload documents to a Workspace, define an agent task board, and watch agents classify and review your documents in parallel. Or build a custom agent workflow and run it on your next matter.