The finalists for The Legal Technology Awards 2025 have been released, and we’re delighted to announce that rradar has been shortlisted in the ‘Best Use Case in AI’ category.

This category recognises the strategic implementation of machine learning and the seamless integration of AI within the legal sector.

The shortlisted firms have pioneered solutions or services that go beyond conventional automation and efficiency, taking the practical applications of cutting-edge AI technology to the next level.

 

Our groundbreaking initiative

rradar set out to look at how we could improve the way clients accessed legal services. We decided that we wanted to build something innovative from the ground up – to go right back to basics. To do this, we had to ask ourselves – what do our clients need?  How do they interact, not just with their legal advisors but with the world in general? The answer, of course, was digitally.

We knew we needed something bold, something at the cutting edge of the digital revolution that is transforming our society.

 

Recognising rradar’s intelligent legal assistant

At the heart of this shortlisting is rradar’s AI-powered legal assistant, rradargrace. Built by rradar, the innovative application – available on desktop or on a mobile device – integrates with rradarstation, rradar’s proprietary legal knowledge platform, to deliver context-aware, accurate and on-demand legal guidance to users – anytime, anywhere.

Intelligent legal assistance rradargrace in a conversation on a smartphone

Rob Jennings, rradar’s Technology Director said:

We’re thrilled to be shortlisted in recognition for the best AI use case at such prestigious legal technology awards. As a legal enterprise with big ambitions, we see ourselves as a pioneer, and this recognition further demonstrates rradar’s unwavering dedication to driving innovation and delivering a cutting-edge legal proposition to thousands of clients.”

The winners will be announced at the awards ceremony on 19th November 2025 at City Central at the HAC, London.