Why so Many Firms Lose Momentum with Copilot, and What Leaders Can Do to Get Things Moving Again

Why It Matters

Without disciplined rollout, firms risk sunk costs and lost efficiency, while a successful relaunch can unlock measurable productivity and client‑service gains across the legal sector.

Key Takeaways

• Early excitement fades without governance and role‑specific training
• Confusion between Copilot Chat and M365 Copilot stalls adoption
• Short 15‑minute sessions fail to build lasting confidence
• Structured 60‑90‑day relaunch restores momentum and measurable value
• Champions and sponsors are essential for habit formation

Pulse Analysis

The UK legal market has moved quickly from curiosity to purchase when it comes to generative AI, yet many firms find their Copilot projects stalling after the initial pilot. The underlying cause is not a lack of technology but a missing change‑management framework: clear governance, role‑tailored workflows, and continuous reinforcement. Without these, daily client pressures and email overload push AI tools to the back‑burner, eroding the early enthusiasm that justified the investment.

Compounding the problem is the conflation of Microsoft’s free Copilot Chat with the full Microsoft 365 Copilot suite. Chat can draft emails or brainstorm ideas, but it cannot access matter files, SharePoint libraries, or case‑specific data, leading users to expect capabilities that the tool cannot deliver. This mismatch creates disappointment and a perception that the technology underperforms. Firms that educate staff on the functional boundaries and provide role‑specific prompt libraries see faster confidence gains, because users understand exactly where AI adds value in their workflow.

Stridon’s ‘second‑attempt’ methodology treats the relaunch as a structured 60‑ to 90‑day program rather than a one‑off training. It begins with a refreshed narrative that clarifies what Copilot is, who the sponsors and champions are, and what success looks like for each practice area. Weekly hands‑on clinics, proof‑of‑value metrics, and safe‑sandbox experiments turn abstract concepts into tangible results that can be shared firm‑wide. When leadership visibly backs the effort and champions model best practices, adoption shifts from sporadic use to a habit, unlocking the consistency, efficiency, and wellbeing benefits promised by AI.