US Legal AI Pioneer eBrevia Signs Baker McKenzie in Global Deal

Global law firm Baker McKenzie has today announced the selection of eBrevia as its main AI tool of choice to be used on M&A and other transactional work for its global clients.

The deal is a major coup for eBrevia as Baker McKenzie offices in Hong Kong, Singapore, Frankfurt, Munich, Berlin, Dusseldorf, Vienna, Toronto and Chicago will be tailoring eBrevia’s machine learning capabilities to several practice groups and jurisdictions, and plans are already underway to extend the reach of the AI programme.

Paul Rawlinson, Baker McKenzie

Paul Rawlinson, global chair of Baker McKenzie said: ‘Digitisation, Artificial intelligence and Machine Learning are all very real and the legal industry is right in the middle of the changes they will bring. Being truly innovative means listening to clients and understanding the challenges they face –  so we can adapt and make sure the service we provide fits not just for today’s technological challenges but also for the future.’

Baker McKenzie’s Erik Scheer, who chairs the Innovation Committee added: ‘We are applying a broad range of Artificial Intelligence tools for due diligence, contracts, and e-discovery where these technologies can ensure market-leading efficiency. Innovation doesn’t happen overnight – we are always learning more and adapting as we go .Whether this means learning new technical skills or deploying new models for enabling new technology. Clients expect us not just to keep up, but to set the pace.’

Speaking to Artificial Lawyer, eBrevia co-founder, Adam Nguyen, said: ‘Baker evaluated a number of software companies before selecting eBrevia. We’re thrilled to be part of such a large-scale adoption, especially given Baker’s on-going innovation initiatives across the world.’

‘We view our clients like Baker as partners who share our vision for enhancing efficiency and transforming the delivery of legal services. eBrevia is constantly enhancing what’s already a powerful machine learning tool. Our average time for releasing upgrades to features and our core machine learning is about three weeks, which is tremendously fast for even the most agile software companies,’ he added.

If you would like to learn more about eBrevia, then please check out the extensive interview Artificial Lawyer had with Ned Gannon, US-based co-founder of the company: here.