MAIQ is an AI-native operating system for law firms, providing a unified cloud-based SaaS platform that automates administrative and repetitive legal work. The platform orchestrates client intake, case preparation, and document workflows while using a RAG-based knowledge core to make prior case history instantly retrievable, eliminating context switching across fragmented tools. It is designed for legal practices seeking to reduce the 44% inefficiency tax caused by manual data entry and application switching.
Funding
Funding not disclosed
Founders
Product
Problem
Law firms face a 44% inefficiency tax caused by constant context switching, manual data entry, document formatting, and fragmented tool landscapes. 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, and document workflows into a single frontend. The system automatically processes new client inquiries, extracts key information, identifies missing data, coordinates follow-ups, and routes complete mandates to the appropriate teams. For standard requests, AI agents draft results based on the firm's playbooks for final human oversight amino acid. The platform's intelligent orchestration layer analyzes incoming facts, researches relevant legal texts, and pre-validates documents before a lawyer even opens a case, while a self-learning data core becomes smarter with every matter handled.
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.
Features
- Intelligent orchestration that autonomously gathers missing information and prepares decisions before case review
- Automated client intake processing that extracts key information, flags gaps, and routes complete mandates to the right team
- RAG-based institutional knowledge system with automated categorization for instant retrieval of prior case history
- Unified frontend eliminating application switching, with backend integrations for document management and case workflows
- Playbook-driven AI agents that draft standard legal responses for lawyer oversight