One of the biggest reasons law firms struggle to integrate technology into their practices is a lack of real investment in the psychology of change. Lawyers intellectually understand they must adapt, embrace new tools and continually build digital capability. But willingness is not the same as embedded behaviour. The gap between intention and integration remains significant.
A well‑known example makes this clear. PwC invested $1 billion in AI training. An extraordinary 95% of its workforce voluntarily signed up to learn about AI. Yet despite this enthusiasm, actual usage of AI and legal‑tech tools barely moved. The problem wasn’t resistance or disinterest. The problem was cognitive load — and a misunderstanding of what it truly takes to embed new behaviours in an already overloaded professional environment.
PwC linked this failure to several factors:
• Poor change management
• Insufficient user testing
• Overly technical rollouts lacking human‑centred design
• Limited reinforcement after training
These findings resonate strongly with the legal profession.
Law firms cannot rely on passive knowledge transfer or hope that enthusiasm will translate into adoption. They must deliberately design learning pathways that move beyond information delivery toward explicit cognitive training, deliberate skill development and the freedom to practise, experiment and make mistakes in a low‑risk environment.
This is where change management and coaching become essential components of legal education and capability uplift. Models such as the Prosci ADKAR framework offer a useful scaffold:
A – Awareness of the need for change
D – Desire to participate and support the change
K – Knowledge on how to change
A – Ability to implement required skills and behaviours
R – Reinforcement to sustain the change
The first three pillars—Awareness, Desire and Knowledge—take time and are often neglected in the pursuit of speed or cost‑efficiency. Yet they are the foundation on which lasting behavioural change is built. If firms skip straight to technical training without investing in these early pillars, they unintentionally build on unstable ground.
PwC’s own solution to this challenge is instructive. They implemented “prompting parties” — low‑stakes sessions where teams brought real work examples but were free to explore without risking client matters. These simulated environments enabled employees to play, create, collaborate, fail safely and build confidence. PwC also deployed 1,500 “activators” across the organisation — not AI experts, but trusted colleagues who could translate AI into the practical language and workflows of their specific teams.
This model works because it recognises that people adopt technology when they feel safe, supported and part of a shared learning experience.
For law firms, creating this environment requires learning and development structures grounded in:
• Change management, including a pre‑mortem to identify sources of resistance
• Clear, consistent communication
• Strong foundational knowledge
• Simulation‑based learning, practical labs and issue spotting
• Postmortem debriefs and continuous improvement
Lawyers, by training, are sceptical, critical and risk‑averse — traits that make them exceptional risk managers but slow adopters of new technology. Acknowledging this reality is not a criticism; it is an essential starting point. A thoughtful pre‑mortem stage helps uncover identity‑based resistance: concern about diminished expertise, low trust in AI outputs, or anxiety about ethical implications. Addressing these openly allows the firm to pre‑empt concerns before training begins.
Communication during this stage should emphasise productivity, client expectations, professional longevity and the evolving nature of legal practice.
A thorough training needs analysis is equally critical. Not every lawyer needs the same training, nor will all training be relevant to every role. Partners and leaders, in particular, need tailored development to help them model digital behaviours, support their teams and understand how GenAI is being adopted across the firm.
Finally, once training is delivered, the work is not done. Postmortem debriefs ensure the technology is being applied effectively and that the adoption of AI contributes to the development of better lawyers—not just faster ones.
Legal innovation is not merely about understanding tools. It requires reorganising work structures and intentionally building the interpersonal capabilities that support change: communication, coaching, leadership, negotiation and technology‑enabled problem‑solving.
If law firms want their people to adopt and adapt, they must create environments that support curiosity, experimentation, learning—and yes, failure. They must also consider giving lawyers the space and budgetary relief to mentor and coach junior colleagues in critically evaluating AI outputs, strengthening judgment and lifting overall capability.
Technology alone does not transform legal practice. People do. And people thrive when they feel supported, empowered and part of the journey.
I’m Leisa Flatley, legal educator, lawyer, coach and mentor. I am passionate about intentional skill design so I'm creating a simulated courses for modern professionals.