AtlasAI (atlas-ai.io) is a legal AI platform founded in 2024 by Stephen Costigan (Director). Company: AtlasAI OS Corporation, New York. Described as ‘Self Learning AI for Lawyers’ — a unified legal-knowledge-graph platform that helps attorneys review faster, draft smarter, and analyze complex agreements. Features include contract analysis (hidden clause detection in M&A), AI-powered document review, document generation, eDiscovery workflows, AI agents, and iManage integration. Has an enterprise product site (enterprise.atlas-ai.io) and launched Atlas Frontier Labs (research initiative, Nov 2025). Participated in ILTACON 2025 Startup Hub. $201K seed round raised Dec 2025 (per Tracxn). Very early stage — founded 2024, minimal traction data. Listed on DreamLegal. NOTE: Different from Atlas AI PBC (atlasai.co, Palo Alto) which is a geospatial/satellite data company — different company entirely. Stephen Costigan has been actively posting about legal AI topics on LinkedIn with demos and use cases.
Company Info
- Founded: 2024
- HQ: New York, NY
- Founder: Stephen Costigan (Director)
- Company: AtlasAI OS Corporation
- Funding: $201K seed (Dec 2025)
What We Haven’t Verified
- Customer base and adoption metrics
- Technical architecture (LLMs, knowledge graph implementation)
- Pricing
- Security certifications
- iManage integration depth
- No independent reviews found
Workflows
Based on practitioner evidence, AtlasAI is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems AtlasAI addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Contract redlining is a nightmare — 7 rounds of Track Changes in Word, counterparty turns off tracking, and nobody knows what changed between v5 and v7
500K documents to review, contract attorneys burning out after 4 hours of screen-staring, nobody knows if the review is consistent across 20 reviewers — and the partner watching the budget bleed
Legal research costs $400-600/hour in associate time and takes hours of manual digging — searching Westlaw/Lexis, reading irrelevant results, synthesizing case law. Clients increasingly refuse to pay for research hours on invoices. AI can compress a 4-hour research memo into 20 minutes, but most firms have no approved tool
Where it fits in your workflow
Community Data
Loading practitioner-sourced data…