AtlasAI: Features, Software Overview & Case Studies
Legal AI on every system you already own.
AtlasAI is a legal AI platform that unifies enterprise search, drafting, and agents on a firm-owned knowledge graph. It ingests work product from iManage, SharePoint, OneDrive, NetDocuments, and email, deploying inside the firm's Azure tenant or Atlas's own cloud, serving law firms and in-house teams.
Product
AtlasAI
Use cases
Contracts · Research & Knowledge Management
Last updated
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What AtlasAI does
The platform combines ingestion, curation, retrieval, reasoning, and workflow automation in one product rather than across separate vendor partnerships. Agents read incoming matters, propose graph additions with human review, and surface cross-matter precedent at clause, party, and matter granularity. It supports top models including Claude, GPT, and Llama selectable per matter, exposes REST APIs, a Python SDK, and MCP, and offers practice-specific assistants, Word plugin drafting, and tabular contract review. Security posture includes SOC 2 Type II, ISO 27001, GDPR, and CCPA compliance with SAML SSO.
What it does
AtlasAI core capabilities
Chat
Conversational queries grounded in firm matters with citations
Document Analysis
Two-pass extraction of deals, parties, defined terms, obligations
Tabular Review
Bulk contract extraction feeding back into the graph
Legal Research
Cross-jurisdiction research joined with prior firm treatment
Playbooks
Drafting and redlines against accepted firm language in Word
Enterprise Search
Hybrid graph, vector, and ACL search across DMS sources
Knowledge Graph
Per-tenant graph of matters, clauses, parties, precedents
Assistants
Practice-specific agents for PE, regulatory, disputes work
Agent Workflows
Multi-step legal work orchestrated by audited agents
Data Analysis
Spreadsheets and billing exports joined to context layer
DMS Integration
Continuous ACL-aware sync with iManage, SharePoint, NetDocuments
Word Plugin
Precedent suggestions and redlines inside Microsoft Word
Technical specifications
- Models: Claude, GPT, Llama
- REST API
- Python SDK
- MCP
- DMS integrations: iManage, SharePoint, OneDrive, NetDocuments
- Azure tenant deployment
- SAML SSO
- ZDR-routable
Who it is for
Who AtlasAI is built for
Target audience
- Large Law Firm
- Mid-Sized Law Firm
- In-House Legal Teams
Case studies
Verified customer results
There are not enough reviews for AtlasAI at DreamLegal. Try exploring different products for exploring case studies.
Trust & compliance
AtlasAI security at a glance
Security certifications
End-to-end encryptionSAML SSONamed enterprise customers
Pricing details
AtlasAI pricing
Starting price
Pricing model
Free version
Free trial offered; full pricing not publicly stated
Product videos & screenshots
See AtlasAI in action
Product interface
AtlasAI Interface
Comparisons
Popular AtlasAI comparisons
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Transparency
AtlasAI sources
Pages used to generate and verify this profile.
FAQs
Frequently asked questions about AtlasAI
AtlasAI runs inside the firm's own Azure cloud tenant or Atlas's own cloud, under the firm's existing Microsoft Enterprise Agreement. This single-tenant deployment model provides one DPA and one audit estate rather than splitting reasoning and data across multiple vendor contracts and subprocessor chains.
AtlasAI continuously ingests from iManage, SharePoint, OneDrive, NetDocuments, email, and network shares. Ingestion agents read each source in plain English and curate a per-tenant knowledge graph with ACL-aware access controls, ensuring permissions are respected and no content is added silently without human review.
AtlasAI supports Claude Opus 4.7 and 4.6, GPT-5, GPT-4.1, o-series, Llama, Mistral, and Cohere. The model lane is selectable per matter and per sensitivity class, giving firms control over which models handle which work, with ZDR routing available for matters requiring it.
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