Edith Heroux

Corporate law firms investing in AI Legal Analytics often approach implementation with enthusiasm but insufficient planning. The result is predictable: underutilized technology, frustrated users, missed ROI targets, and skeptical partners questioning the entire investment. After guiding dozens of implementation projects across practices ranging from M&A due diligence to litigation support, I've identified a comprehensive set of prerequisites, decisions, and milestones that separate successful deployments from expensive false starts. This isn't a vendor checklist designed to sell software. It's a practitioner's guide to the real work required before, during, and after AI adoption. The difference between firms that successfully integrate AI Legal Analytics and those that abandon the effort after six months comes down to systematic preparation. Technology selection matters, but it's rarely the determining factor. What matters more is whether you've completed t...