AI adoption can mean trading speed for skill
A recent LexisNexis report shows 82% of lawyers using or planning to use AI and 71% praising its speed. But this race towards AI adoption, fueled by the relentless pressure of billable hours and office overheads, has me worried. We're so obsessed with 'how fast' that we've forgotten to ask at what cost?'
By 2025, we'll need to confront some uncomfortable truths about this trade-off. Sure, AI can scan through information like no human can, but does that actually make lawyers more efficient? And are there areas of law where we don't want AI to be quicker? When I did my MSc in Cyberpsychology, we delved into System 1 (fast) and System 2 (slow) thinking. Gen AI is a System 1 powerhouse, but is that always what we need in legal work? Sometimes, we need slow, critical thinking. Sometimes, we need emotional intelligence. Law isn't just about speed; it's about judgment, nuance, and understanding the human element.
This tension between efficiency and expertise will shape how legal technology evolves in 2025. While speed matters, the real innovations will come from understanding how lawyers actually work with information and documents. Here's what I see coming:
The evolution of legal-document interaction
Something fascinating is happening in law firms right now. The next generation of lawyers interact with information completely differently than their predecessors, and by 2025, they'll be making technological decisions. I think that'll drive bigger changes than any AI breakthrough.
What's really exciting is what I call "conversational contracting." Being blind, I've always dreamed that somehow the internal dialogue in my mind could be expressed digitally through voice, touch, or whatever feels natural. Imagine looking at a clause and thinking "I wish I could see something similar," and having the document respond in real time. Or asking "what else would I need to update if I change this?" and getting immediate insights about necessary edits throughout the document.
It's not that far-fetched—we're already building the foundations with semantic search and other tools. By 2025, I think we'll start seeing the first real implementations of this kind of natural interaction between lawyers and their documents. The missing piece right now is the ability to understand intent—to take that internal legal dialogue and convert it into action—but that's exactly where the technology is heading.
The rise of domain-specific AI
Here's the thing about AI in law that nobody wants to admit: a solution that works brilliantly for contracts might be useless for criminal law or regulatory work. They're completely different beasts. I think 2025 will be when we finally accept that one AI system can't do it all. The legal tech companies that survive won't just be the ones with fancy AI models - they'll be the ones who actually understand the domain they're working in. Trust me, there's a reason people go to law school for four years and then do training contracts - you can't just throw an LLM at that kind of expertise.