What parts of AI can you actually trust in legal work — and which should you avoid?
Read our practical guide for legal professionals on where AI is reliable, where it creates risk, and how to apply it safely in your daily work.
> 10-minute read
> Practical guidance you can apply immediately
> Real examples from legal practice
The uncertainty around using AI in legal practice
Artificial intelligence is becoming increasingly present in legal workflows — but knowing how to apply it in your own practice is far from straightforward.
You’re under pressure to work more efficiently and reduce time spent on repetitive tasks. At the same time, you’re responsible for accuracy, reliability, and the protection of sensitive client information.
Many AI tools generate outputs that appear convincing, but may contain subtle errors, outdated legal references, or unsupported conclusions. In your line of work, these risks are not theoretical — they can have direct professional and reputational consequences.
As a result, you hesitate. Not because AI lacks potential, but because there is no clear guidance on when and how it can be used responsibly within your practice.
What we're seeing in practice
To better understand this hesitation, we spoke with legal professionals about how they are currently approaching AI in their work. Across these conversations, a consistent pattern emerged. The uncertainty is not about whether AI has potential, but about where it can be trusted and how it can be used responsibly in practice.
Many described the same underlying tension: the need to work more efficiently, while remaining fully responsible for accuracy, reliability, and the protection of sensitive client information. At the same time, there is a lack of clear guidance on how to navigate this in a practical, day-to-day context.
As a result, decisions around AI are often delayed or avoided altogether — not due to a lack of interest, but because it is unclear what is safe, what is reliable, and what fits within the standards of legal work.
Contents of the whitepaper
- Guidelines for implementing AI
Practical guidance to incorporate into your AI strategy and to get started well-prepared with adopting AI in your organization
- Practical applications of AI
Concrete examples of how AI is already being used today, including contract analysis, legal research, and document generation.
- Three tracks for AI adoption
A structured approach for firms to implement and scale AI.
Who is this whitepaper for?
This whitepaper is designed for:
> Lawyers and legal professionals who want to understand the impact of AI on their work
> Partners and firm leadership looking to shape an AI strategy within their organization
> Firms taking their first steps with AI and seeking a structured approach
> Whether you are just beginning your AI adoption journey or already experimenting with applications, this whitepaper will help you make well-informed decisions.
Move forward... with confidence
Without a structured approach, it remains difficult to determine which use cases are safe, which introduce risk, and how to move forward with confidence.
To make this more concrete, we’ve translated these insights into a practical framework — outlining where AI can be applied safely in legal work, where caution is required, and how to approach it in a way that fits the standards of your practice.
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