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MAIQ

MAIQ provides an AI-native legal operating system that unifies email, beA, practice management, document workflows, deadlines, knowledge, time tracking, and billing into a single interface for law firms. The platform automatically processes inbound communications, matches them to matters, and derives tasks and deadlines, with AI agents drafting responses for lawyer oversight. Built on Microsoft Azure in Frankfurt, it is designed to reclaim up to two extra billable hours per lawyer daily.

Traction 7/10
Köln, Germany · HQ
Founded 20265100+ followers
  • Legal Technology
  • Artificial Intelligence
  • AI Agents
  • Software Only
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Law firms face significant inefficiency caused by constant context switching, manual data entry, document formatting, and fragmented tool landscapes. Email, practice management software, document management systems, research tools, time tracking, and billing all operate in separate applications, requiring information to be entered, searched for, transferred, and checked repeatedly before legal work even begins. Existing document management systems fail because lawyers lack time to tag files and assistants lack the context to tag them correctly, making prior case retrieval time-consuming and unreliable.

Solution

MAIQ provides a cloud-based SaaS platform that acts as an AI-native operating system for law firms, unifying client intake, case management, document workflows, deadlines, knowledge, time tracking, and billing into a single frontend. The system automatically processes incoming information from email and beA, matches it to the relevant matter, and derives tasks, deadlines, and next steps. AI agents draft responses based on the firm's playbooks for lawyer oversight, while an intelligent orchestration layer analyzes incoming facts, researches relevant legal texts, and pre-validates documents before a lawyer opens a case. All institutional knowledge becomes systematically usable via automated categorization, and the system's self-learning data core improves with every matter handled. The platform is built on privacy-by-design principles and runs on Microsoft Azure in Frankfurt with comprehensive professional-conduct compliance.

Target Audience

Primary customers are modern law firms, particularly those specializing in IP/IT law, AI law, and employment law, needing to reduce administrative overhead and leverage institutional knowledge. The platform is designed for firms of various sizes seeking to replace fragmented tool stacks with an integrated operating system.

Features

  • Intelligent orchestration layer that autonomously gathers missing information and prepares decisions before case review
  • Automated client intake processing that extracts key information, flags data gaps, and routes complete mandates to the appropriate team
  • RAG-based institutional knowledge system with automated categorization for instant retrieval of prior case history
  • Unified frontend with guided matter-opening workflow covering conflict checks, KYC/AML, parties, and effort estimation
  • Playbook-driven AI agents that draft standard legal responses for lawyer oversight
  • Automated deadline and task management with personal dashboards showing priorities
  • Microsoft Azure hosting with TLS 1.3 encryption in transit and AES-256 at rest, plus complete audit trails
This profile is AI-generated and may contain inaccuracies.