About Morae
Morae is trusted around the world for the delivery of digital and business solutions for a constantly changing legal industry. Founded in 2015, Morae has earned wide respect for the expertise and experience of our legal consulting, technology, and operations professionals, many of whom have in-house legal, law firm, or other relevant industry experience. We strive to make a difference every day for our law firm and legal department clients by collaborating closely with them to develop strategy, implement meaningful change, and achieve the business objectives they care about most. This includes offering clients the right people and technology they need to efficiently meet their contracts, discovery, information, and resourcing goals.
Testimonials
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Resources
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Monday, April 27, 2026 Morae
Top 10 Information Governance Controls Every Organization Should Have
A simple 2-page checklist covering the 10 core information governance controls every organization should have. Identify gaps, reduce risk, and assess your IG program in minutes. -
Wednesday, February 11, 2026 Morae
How a Regional Water Authority Reduced ROT and Modernized Records Management
See how Trinity River Authority of Texas reduced ROT, uncovered PII, and built a defensible foundation for modern records management. A practical case study for ARMA members and information governance professionals. -
Thursday, October 23, 2025 Morae
Is Your Data Ready for AI? Download the AI Readiness & Data Quality Checklist
Get Gimmal’s AI Readiness & Data Quality Checklist — a step-by-step framework to strengthen data governance, eliminate errors, and prepare your organization for trustworthy AI adoption. Perfect for IG and data management professionals.
Manage Records Anywhere with Gimmal Records Management
Automatically manage all of your records with a single platform. Records and information are stored in numerous locations across the enterprise, making it difficult to manage this content in a compliant manner. With Gimmal Records, you don’t need to waste money on another repository or time streaming records to a data lake.