Artificial intelligence: Machines learning means you earning

To judge from business book bestseller lists and recent popular conference topics, the question ‘how can artificial intelligence (AI) improve the way we work?’ has become a major topic of interest in today’s economy—and in the field of IP law, too.

Clear trends are now emerging on how lawyers should be adopting these technologies to improve performance—and success stories abound. For example, many trademark professionals report having used AI to completely reimagine their traditional work processes, with positive effects.

Human-machine best practices

Today’s programmers are using many different AI techniques—including expert systems, machine learning, deep learning neural networks, natural language processing, and voice and image recognition—to drive better business performance. AI is evolving very quickly and proving very valuable, across many different industries and in the field of law.

How can IP law leaders best derive value from these new technologies? AI consultants teach that we should view human-machine interactions as a form of symbiosis, where each side focuses on its own strengths, and each side is ‘augmented’ by the other.

Humans gain ‘superpowers’ in fast data analysis and repetitive tasks, while machines learn from human training and guidance.