AI tools such as Microsoft Copilot promise efficiency, but they also expose a structural problem: legal knowledge is fragmented across SharePoint, Teams, email, contract repositories, and departmental silos.
Atlas is the knowledge layer required for precise enterprise AI. Built on Microsoft technologies, Atlas structures, tags, and governs internal legal data so AI tools and large language models draw from accurate, trustworthy, and proprietary legal documents rather than unverified sources.
The result is faster answers, reduced risk, and a scalable foundation for AI-enabled legal operations.
Why in-house legal teams choose Atlas
Faster access to trusted knowledge
Quickly find precedents, policies, and critical documents.
Knowledge sharing
Capture and share institutional knowledge efficiently.
Scalable self-service
Empowers business teams to handle common legal tasks whilst maintaining control.
Smarter AI drafting
Improve AI outputs with accurate, structured knowledge.
Built-in security & compliance
Enterprise-grade governance, security, and regulatory compliance.
Microsoft 365 ROI
Maximize value from Microsoft 365 and Copilot.
How Atlas works as the legal AI knowledge layer
Atlas sits between your content and your AI tools. It connects and operationalizes knowledge across Microsoft 365 and other core systems, applying structure, metadata, and governance so that knowledge can be safely discovered, reused, and consumed by AI.
Atlas ensures AI tools draw from:
Approved, authoritative legal knowledge
Content filtered by practice, jurisdiction, and role
Permission-trimmed sources aligned to firm policy
Knowledge with clear lineage and ownership
This dramatically improves the precision, reliability, and trustworthiness of AI-assisted legal work.
Faster access to trusted legal knowledge
Enable lawyers to quickly find precedents, contracts, policies, and matter-related insights across systems, reducing time spent searching and validating information.
Empower business teams to handle common legal tasks independently, such as accessing standard templates, generating NDAs, or checking agreements against approved policies, reducing legal bottlenecks while maintaining control.
Challenges of AI and knowledge management for in-house legal teams
Challenges
Fragmented legal knowledge: Legal content is scattered across systems, creating duplication and confusion.
AI risk: Copilot and AI tools pull from unstructured, inconsistent content.
Slow retrieval: Counsel spend too much time searching for precedents and advice.
Security pressure: Sensitive legal data must remain tightly controlled.
Repetitive queries: Legal teams handle recurring, low-risk questions.
How Atlas solves this
Unifies and structures knowledge into a single authoritative source.
Ensures AI works from curated, permission-aware legal knowledge.
Delivers intelligent search that surfaces trusted content fast.
Enforces permission-aware access aligned to Microsoft security.
Enables structured self-service grounded in validated knowledge.
Book a demo
See how Atlas enables AI-ready knowledge management for in-house legal teams inside Microsoft 365.
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