AtlasAI was founded on a simple belief: the firms that win won’t be using AI tools — they’ll be running their own AI infrastructure. Search, drafting, and agents, combined on the firm’s own graph, inside the firm’s own tenant.
Every firm now has the same chatbots, trained on the same public internet, returning the same answers. Access is no longer a differentiator — it’s table stakes.
The shift underway: AI is becoming the knowledge layer of the firm itself. Not a tool bolted on the side — the operating layer that turns a firm’s own documents, matters, and institutional memory into work that gets done.
The question is no longer “do we use AI” — it’s “whose intelligence are we building”
For confidentiality-critical work — M&A, restructuring, investigations, disputes — data leakage isn’t a risk. It’s career-ending. The status quo is the expensive option.
Every matter, memo, and negotiated clause the firm has ever produced, working for it — instantly searchable, citable, and ready to draft from. Not software the firm logs into. Infrastructure the firm controls.
The operating layer for the modern firm. Enterprise search, drafting, and agents — combined on the firm’s own knowledge graph, inside the firm’s own tenant.
Search the firm · Cite the firm · Compound the firm
Agents scour iManage, SharePoint, NetDocuments, email and network shares and weave them into one living knowledge graph — party, matter, clause, obligation, defined term.
Obstacle solved · scattered knowledgeSearch like DeepJudge. Reason like Harvey. Draft like Legora. AtlasAI delivers all three at once — grounded in cited firm precedent, never the public web.
Obstacle solved · point-tool sprawlBeyond answers: agentic workflows that run real legal work end-to-end — review, diligence, drafting from precedent — on rails the firm defines.
Obstacle solved · work that stalls at the answerEvery result traces back to the firm’s own documents — ACL-aware to the file, so each user sees only what they’re entitled to. Pulled live from iManage and the firm’s systems, not the open internet.
AI isn’t a feature we ship — it’s how we operate. Across the company, AI performs the work of more than 20 additional staff, running functions end to end. A small senior team directs the work; agents do the volume.
The credibility no competitor can claim — we sell what we run.
AtlasAI is for firms whose client data cannot leak. Deploy it as private infrastructure you control and extend, or as a managed cloud with no IT lift — the privacy story is identical either way.
Inside your Azure cloud or ours. Client data never leaves the firm’s perimeter.
Permissions enforced to the document. Users only ever see what they’re entitled to.
Top models — Claude, GPT, Llama — selectable inside Atlas, governed by the firm.
Two offices — New York and Denver — and a distributed bench of agents. Each person directs a fleet, which is how a small team ships at the scale of a much larger one.
Anchored in the legal market of New York and the engineering talent of the Mountain West — a distributed, AI-augmented team across both.
575 Fifth Avenue
New York, NY 10017
1200 17th Street
Denver, CO 80202
Available now: Atlas Context Graph & APIs · Coming July 2026: iManage agent indexing
Search the firm. Cite the firm. Compound the firm.