ARAG in Interview: On the significance of legal tech in practice

Find more about ARAG on their Website.

Why is Legal Tech important from a rule of law perspective?

In many areas, legal tech is making access to justice and law possible, meaningful and efficient. This is the only way that law and rules can make sense or develop their relevance efficiently. Without the implementation and enforcement of law and justice, the rule of law is meaningless, so ultimately no modern rule of law is possible without LegalTech.

How can businesses profit from Legal Tech?

LegalTech not only leads to increased efficiency, speed and cost savings in internal processes, but can also partially counteract demographic change and labour shortages. In addition, in some cases, knowledge transfer can be ensured or made efficient through self-service offerings. It can also create new business models and open up new markets. However, it should always be borne in mind that the legal issues are highly complex, which means that quality assurance needs to be supported by appropriately trained staff during the initial implementation process, and ideally also during operation.

Why is the European Scientific Legal Tech Summit important for the legal tech market?

The summit will provide a forum for exchange not only between academia and business, but also between different sectors. Although the regulatory challenges are similar in many areas, there is no single secret recipe for tackling them, and there are many issues for which there is currently no proper legal or technical solution. Learning from each other, especially from each other's mistakes and experiences, is a huge added value that should not be underestimated.

How do you think Legal Tech will develop over the next three years?

AI has been all the rage in recent months, but many are still in the early stages. In legal departments, for example, where people still work with Excel spreadsheets, the need for AI is not yet there. A lot of efficiency can already be achieved through automation, linear and clear processes, and the simple use of very basic technology. AI also raises a lot of cultural issues and concerns that have been largely ignored. As well as AI system don't solve the real, really painful problems that certainly don't sound sexy but need to be addressed to make place for further innovation. I hope that the next 3 years we will see a return to the basics and their completion, while research and innovative companies can work on the big issues, such as the missing data sets for more intelligent systems.