Release 6 Singularity

The future of law isn’t bought.
It’s built.

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.

Inside your Azure cloud or ours ACL-aware Top models: Claude, GPT, Llama
The Shift

The first wave of AI was access.
The next wave is advantage.

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”

Winners & Losers

There will be two kinds of firms.

Firms that rent AI

Using AI

  • Send privileged client data outside their control
  • Trust black-box systems they can’t audit
  • Run the exact same tools as their competitors
  • Rent intelligence that never compounds
Firms that own AI

Owning AI

  • Keep every document inside the firm’s tenant
  • Ground answers in the firm’s own knowledge
  • Operate differently — and so does their AI
  • Compound an advantage no competitor can copy

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.

The Promised Land

A firm that owns its intelligence.

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.

  • Using AIOwning AI
  • ToolsSystems
  • ExperimentationTransformation
Atlas · Knowledge Graph
Release 6 Singularity

Introducing Atlas·Singularity

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

What Gets You There

Three gifts on the road to owning AI.

01 — Agentic Curation

The Context Graph

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 knowledge
02 — The Combination

Search · Reason · Draft

Search 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 sprawl
03 — Workflow Infra

Agents that execute

Beyond 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 answer
iManage SharePoint NetDocuments Email Network shares Atlas Context Graph
Grounded in the firm

Answers with citations, not guesses.

Every 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.

Atlas · Enterprise Search
The Operating Principle

We run AtlasAI the way we tell firms to run theirs.

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.

20+
AI staff roles
Marketing
Run by agents
Sales & Dev
Agent-augmented
Security
Agentic CISO

The credibility no competitor can claim — we sell what we run.

Built for Privilege

Private by architecture, not by promise.

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.

Your tenant

Inside your Azure cloud or ours. Client data never leaves the firm’s perimeter.

ACL-aware

Permissions enforced to the document. Users only ever see what they’re entitled to.

Model choice

Top models — Claude, GPT, Llama — selectable inside Atlas, governed by the firm.

The Team

A senior, AI-native team.

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.

Preetham BingiP
Preetham Bingi
Lead AI Engineer
LinkedIn
Stephen CostiganS
Stephen Costigan
AI Engineer & Founder
LinkedIn
Matt ScheetzM
Matt Scheetz
Engineering Lead
LinkedIn
Cory WalkerC
Cory Walker
AI Engineer
LinkedIn
Vishnu PottabatthiniV
Vishnu Pottabatthini
AI Engineer
LinkedIn
Srikar JaladiS
Srikar Jaladi
AI Engineer
LinkedIn
Gabor BoliG
Gabor Boli
AI Engineer
LinkedIn
Where We Operate

New York & Denver.

Anchored in the legal market of New York and the engineering talent of the Mountain West — a distributed, AI-augmented team across both.

New York

575 Fifth Avenue
New York, NY 10017

Denver

1200 17th Street
Denver, CO 80202

New York
Legal market
Denver
Engineering
AmLaw
Private deployments live
Opus 4.7
Available now · + 4.6

Available now: Atlas Context Graph & APIs · Coming July 2026: iManage agent indexing

Private AI infrastructure for firms that intend to lead.

Search the firm. Cite the firm. Compound the firm.