Our Take
The industry is talking about change, not proving it shipped—and the training gap is real but unresolved.
Why it matters
Law firms face a genuine problem: AI and automation are fragmenting traditional apprenticeship models, yet simulation-based training and new collaboration frameworks are still emerging, not deployed. Practitioners need to know what's actually working versus what's still aspirational.
Do this week
Training director: audit your associate onboarding plan this month to identify which workflows will be automated in the next 12 months, so you can pilot simulation or co-training with clients before your competitors do.
Firms are rebuilding training and client collaboration around AI
Ari Kaplan and Caroline Hill, co-hosts of the Charting Change in Legal podcast, returned from events in Amsterdam, Stockholm, and London (Lexpo, LegalTechTalk, and Relativity Fest) reporting a consistent message: law firms are embedding change into workflows and vendors are responding. The recurring theme across all three conferences was how firms are adapting to AI and automation by rethinking training, development, and collaboration models.
The training challenge emerged as a primary concern. Traditional learning models built on junior associates shadowing senior lawyers are fracturing as automation removes routine work from the apprenticeship pipeline. Simulation-based training is being explored as a replacement, though no vendor or firm has yet published deployment data or adoption rates. Client collaboration is also shifting—firms report that ensuring lawyers are equipped for evolving workflows now requires direct alignment with clients, not just internal capability-building.
Nick West, chief strategy officer at Mishcon de Reya, framed the moment as a tipping point during LegalTechTalk. He noted this is "the moment many have been waiting for" and described it as accelerated change finally happening in the sector.
The gap between talk and execution is still wide
Three conference circuits reporting the same theme signals real industry motion. But the sources—podcast discussions and conference remarks—do not yet include case studies, retention metrics, associate satisfaction data, or evidence that new training models are outperforming the old ones. Simulation-based training is mentioned as "emerging," not deployed at scale. Client collaboration is described as "essential," but no firm has published how collaboration actually works or what outcomes it drives.
The training crisis is genuine: automation that removes contract review, due diligence, and memo-writing work does hollow out the training ground where junior lawyers develop judgment. The solution set is not yet clear. Firms are moving, but they are moving without benchmarks. For practitioners making budget decisions on training infrastructure or vendor partnerships, this is a year of experimentation without proven return on investment.
Know the difference between conference energy and proof
If you lead training, learning and development, or practice management, treat conference reporting as an early-signal dashboard, not a playbook. What you heard in Amsterdam and London is real frustration about a real problem. It is not yet evidence that any single approach (simulation, co-training, client pairing) works better than others. When you evaluate training vendors or rebuild your development program, ask for customer data: associate completion rates, time-to-productivity, and retention. If a vendor cites conference attendance or buzz but no customer outcomes, that is forward-looking intent, not proof.
The sector is genuinely at a pivot point. Mishcon's observation about tipping-point timing is credible—AI adoption in legal is accelerating and traditional training models are breaking. The open question is which firms will move fastest and publish their results first. That transparency will tell you whether this wave of change is strategic or just urgent.