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Company profile

Qanooni

Legal AI platform for law firms, embedded in Word and Outlook.

qanooni.aiProfile compiled July 20268 source pages read
Category
Legal AI
Headquarters
Dubai
Sells to
Enterprise
Business model
SaaS subscription
Deployment
Cloud / SaaS
Pricing
Not published
Builds own models
No — builds on existing models
Modalities
Text

Qanooni is a Legal AI Platform built by lawyers for lawyers, designed to work across all practice areas. It integrates completely within Microsoft Word and Outlook, personalizing to a firm's style and standards to supercharge end-to-end legal workflows. The platform connects documents, live law, and a firm's precedents, organized by matter, and improves with every matter processed. It aims to eliminate repetitive tasks, ensure consistency, and provide grounded, cited legal insights. Qanooni's core mission is to keep a firm's intelligence within the firm, allowing its knowledge to compound rather than become a commodity.

  • Qanooni PlatformThe overarching Legal AI Operating System for law firms, built around the concept of a 'matter' as its foundation. It connects documents, live law, and firm precedents, and integrates with existing tools like Word, Outlook, DMS, Teams, and Actionstep.
  • QMattersThe foundational module that organizes all of a firm's work by matter, overlaying more than 5,000 live legal authority sources. It structures documents, emails, and precedents, and keeps the legal position current in real-time.
  • QCounselAn open workspace for bespoke legal work. Users can ask in plain English to compose workflows across an entire matter, handling tasks like building chronologies, summarizing bundles, interrogating files, mapping parties, extracting data, and analyzing documents.
  • QDraftA module for drafting agreements directly into Microsoft Word, using the firm's own tone, style, standards, and precedents, built from the matter context rather than a blank template.
  • QRedlineA tool for AI contract review and redlining. It checks counterparty contracts against a firm's playbook, marks up documents in track changes, flags issues based on the whole matter, suggests positions and fallback wording grounded in current law, and compares counter-drafts.
  • Embedded completely within Word and Outlook
  • Personalizes to firm's style and standards
  • Integrates with firm’s document management systems
  • Connects documents, live law, and firm's precedents
  • Organizes information by matter
  • Builds matter context automatically (parties, facts, timeline)
  • Natural language querying for information within files
  • Wired to 5,000+ legal authority sources for real-time legal position checking
  • Drafts directly inside Microsoft Word
  • Checks counterparty paper against firm's playbook
  • Full track changes for redlining and comparing counter-drafts
  • Drafts client updates in Outlook from full matter context
  • Never trained on client data
  • Per-firm data isolation
  • Encrypted in transit and at rest
  • Least-privilege access with role-based access, single sign-on, and audit logging
  • Client owns their data with export/delete options
  • Model-agnostic architecture
  • Builds chronologies
  • Summarizes document bundles
  • Interrogates files for specific answers
  • Maps parties involved in a matter
  • Extracts data into tables
  • Analyzes across multiple documents
  • Suggests positions and fallback wording for negotiations
  • Completing end-to-end legal workflows
  • Creating draft legal documents
  • Reviewing legal documents
  • Searching for specific language within legal documents
  • Briefing on matters
  • Finding answers buried in files
  • Checking legal positions grounded in real law
  • Drafting agreements in firm's voice
  • Reviewing counterparty paper against firm's playbook
  • Redlining and comparing counter-drafts
  • Sending client updates
  • Building chronologies of matter events
  • Summarizing large document bundles
  • Interrogating documents for specific information (e.g., indemnity caps)
  • Mapping parties and their roles in a matter
  • Extracting key dates and obligations into tables
  • Analyzing changes and risks across multiple drafts
  • Negotiating contracts

Qanooni uses AI to organize legal matters, overlay live legal authorities, and power modules for legal research, drafting, and contract review. It emphasizes that its AI is grounded in retrieval from firm-specific data and live legal sources, rather than relying solely on a generic language model's memory, to prevent invented case law. The platform is model-agnostic, meaning the underlying AI model can be changed without affecting the firm's data or knowledge. It explicitly states that it does not train its AI models on customer data.

Tech named: machine learning, data science, AI, language model, retrieval

  • Legal
  • Built by lawyers for lawyers
  • Embedded completely within Word and Outlook
  • Personalizes to firm's style and standards
  • Connects all firm sources into one compounding graph
  • Carries matter context through all tasks, eliminating re-briefing
  • Grounded in matter's own record, not a generic model
  • Wired directly into 5,000+ legal authority sources, queried live
  • Retrieval-based grounding prevents invented case law
  • Drafts in firm's own tone, style, and standards
  • Checks against firm's specific playbook, not generic best practice
  • Model-agnostic, allowing underlying AI changes without data movement
  • Open workspace (QCounsel) for bespoke legal work, not fixed features
  • Reasons across entire matter for complex tasks
  • Carries out multi-step tasks end-to-end
  • Suggests wording and fallback positions anchored in current cited law
  • Tracks changes and compares counter-drafts across negotiation rounds
  • Never trains AI models on client data
  • Per-firm logical data isolation
  • Client owns their matter graph and intellectual property

Village Global, Oryx Fund, TA Ventures

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Qanooni's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.