Independent law firm UMBRA – Strategic Legal Solutions has become the first Indonesian customer to adopt Luminance’s artificial intelligence platform.

UMBRA, which was established in November 2017 by lawyers from one of the largest and leading law firms in Indonesia, selected Luminance following an initial demonstration of the technology. In particular, the firm valued Luminance’s pattern recognition approach, which understands language in documents by context and content, and not just by searching for certain words. With over 30 lawyers, the firm will also benefit from Luminance’s workflow tools, helping UMBRA’s lawyers to collaborate in real time.

“Innovation in the legal profession is crucial to remaining at the forefront of the sector. Since its inception, UMBRA is specifically designed to face the age of disruption and as such, adopting pioneering technology to improve the quality of our legal services is simply the logical consequence of our vision of being a different kind of law firm” said Pramudya A. Oktavinanda, Managing Partner of UMBRA.

“We decided to invest our resources through our collaboration with Luminance as we believe the incorporation of technology that can read and understand all types of documents much faster than humans can leave more time for the analytical thinking that our clients value so highly. It is time to bring a revolution to M&A and securities due diligence exercise.”

“Luminance’s plug and play technology complements UMBRA’s forward-thinking and flexible approach to meeting client needs,” added Luminance CEO Emily Foges.

“The firm recognises the importance of AI to a cross-border M&A practice, and we are delighted to be working with such a pioneering Indonesian law firm.”

Developed by mathematicians from the University of Cambridge, Luminance harnesses proprietary machine learning algorithms to read and understand legal documents in a similar way to humans, coping with volumes and working at speeds that no human can match. Trained by legal experts, Luminance can highlight anomalies among large groups of documents allowing lawyers to prioritise their work.