In legal tech, words matter. But too often, the language we use to describe innovation ends up obscuring more than it reveals. Terms like “AI agent,” “copilot,” “orchestration,” “automation,” and “intelligence” now pepper product decks and vendor demos. But behind each label is a wide – and growing – range of capabilities, maturity levels, and risks.
For IT directors and innovation leads in law firms, this isn’t just a semantic issue. It’s a strategic one.
The burden of interpretation
When technology vendors stretch definitions or adopt trendy terms to describe well-worn tools, the burden falls on legal IT teams to translate claims into operational reality. Is a “copilot” simply a user-friendly assistant? Is “intelligence” just rule-based logic in a new wrapper? Is “orchestration” actually autonomous, or just sequential workflows?
The answer: it depends. And that’s the problem.
This kind of terminology creep leads to misaligned expectations, internal confusion, and harder conversations with stakeholders who assume everything labelled “AI” must be cutting-edge.
Why clarity is now a core competency
At Kutana+Brochet, we see the risk in vague or inflated terminology every day. Law firms aren’t just evaluating features – they’re evaluating fit, trust, and long-term support. Clear, accurate language makes those decisions easier; misleading terms make them harder.
That’s why we always advise legal tech leaders to:
- Challenge the label: Ask what the tool actually does – step by step – and how it fits into your existing architecture
- Interrogate autonomy: If it claims to be “smart,” can it adapt to change, handle exceptions, or escalate appropriately?
- Start small, speak plainly: Pilots and proofs of concept should be based on straightforward definitions of objectives that reflect real-world use
Cutting through the noise
We’re not in the business of marketing buzzwords. Kutana+Brochet helps firms modernise the legal desktop with modular, proven tools for the full document lifecycle – from drafting to collaboration to final output. Our approach is grounded in control, transparency, and user experience.
We’re exploring AI thoughtfully, and where it’s a fit, we’ll say so clearly. Where it isn’t, we won’t pretend it is.
Because in a legal environment where trust and accuracy are paramount, the first thing to get right isn’t the tech. It’s the language we use to talk about it.