Spotlight on

Artificial Intelligence (AI)

Artificial Intelligence (AI) is the simulation of human intelligence that arises when machines are programmed to mimic cognitive functions such as learning, problem solving, and decision making.

Our daily lives are now full of AI driven enhancements, from voice activated virtual assistants to predictive algorithms that shape our online interactions. The explosion in AI in recent years has redefined the boundaries of what technology can achieve, propelling us into an era where intelligent systems augment human capabilities to enhance efficiency, creativity, and problem solving, across a wide range of commercial sectors.  

In the software sector, AI streamlines processes, for example, by automated coding and bug detection. In the healthcare sector, AI facilitates diagnostics, personalized treatment plans, and drug discovery, ushering in an era of tailored medical solutions. In the automotive sector, AI underpins improvements in driver assistance features such as adaptive cruise control, lane-recognition, and collision avoidance. The future of AI holds exciting prospects, with continued advancements across these sectors and many more.  

We have deep AI expertise in these sectors


Retail, Finance & Education


digital security


Health & Bio / Pharma


Transport & Logistics

Why choose us?

  • We are a diverse and multidisciplinary team. Our powerful combination of cutting-edge technical knowledge and deep experience means clients get the right combination of skills. We build multidisciplinary teams, picking the right people for your needs from across the firm. We are genuinely one team and are encouraged to work that way. It’s best for our clients.  

  • AI lives in a complex IP environment and we understand all aspects of it. We understand that open source, publications, trade secrets, patents and partnerships all have a role to play in the AI ecosystem, and we are used to helping navigate that. We work closely between our patent team and our legal team to help with issues around protection strategy, open sourcing, software licensing, and data driven collaborations.

  • We think on our feet.  Our focus is on tailoring our approach to what’s best for you. We know speed can often be key for example,  so we tailor our prosecution style accordingly. We don’t rely on letters and standard process, we call examines, ask questions and push the prosecution faster. Our commercial experience means we understand the pressures our clients face and react accordingly.

  • We lead the way in probing the boundaries of patent eligibility. We have been at the forefront of pushing the boundaries of what software can be patented for many years, and will continue to do so in relation to AI-based technologies

  • We have a strong commercial focus. We seek to understand what our clients want to achieve, and make IP work for them. We have a wealth of experience in working closely with companies and serving as their “in-house” counsel, applying our knowledge and expertise to their commercial needs.

  • We thrive on new tech. We’re known for in working in brand new technologies right from the start and working with clients to figure out how to best to protect and leverage them.  As the forward-looking IP firm we’re passionate about progress and helping our clients maximise the potential this brings

  • We’re implementing AI in our own business. We’re excited by the potential of AI and have a strategy and action plan to implement AI into our firm.

  • We believe in the power of AI done right. As well as contributing to education on potentials and pitfalls of the technology, we are also actively looking at charities we can support in this space as part of our community programme where we donate 1% of profits to charity each year. 

Read our artificial intelligence blogs

The HPV vaccine: the global success of prioritising women’s health

The HPV vaccine: the global success of prioritising women’s health

by Alice Jefferies

Let's talk about the HPV vaccine - a revolutionary drug and global strategy that proved how investing in and raising awareness about women's health benefits everyone.

How data changed our understanding and care of breast cancer

How data changed our understanding and care of breast cancer

by Camille Terfve

Breast cancer does not only affect women, but it mostly affects them1. Breast cancer is the most common cancer in the UK. Yet in England, about 3 in 4 women diagnosed with breast cancer will go on to ...

English Courts consider the patentability of AI

English Courts consider the patentability of AI

by Alex Burns

My colleague, Rebecca Frith and I viewed the Court of Appeal hearing in the Emotional Perception AI case on Tuesday and Wednesday this week. It is the first time that the patentability of AI has been ...

The brilliant dawn of AI drug discovery

The brilliant dawn of AI drug discovery

by Camille Terfve

Computer simulations are solving challenges previously thought uncrackable.

Medical devices: Insights through IP - new report 2024

Medical devices: Insights through IP - new report 2024

by Joanna Smith

We are delighted to release our latest report Medical devices: Insights through IP which looks at the recent IP trends in the medical devices sector.

Can AI help to improve the biopsy process for patients?

Can AI help to improve the biopsy process for patients?

by Callum Anderson

In medicine, a biopsy is a procedure that involves taking a small sample of body tissue so it can be examined under a microscope. This procedure is quite common in diagnosis or assessing the severity ...

Learn More

Areas of innovation

Core AI

Core AI relates to the fundamental technologies and principles underlying artificial intelligence. These technologies form building blocks from which sophisticated AI systems can be built. When it comes to driving forwards innovation in AI technologies, an important factor is the refinement of core AI components such as deep learning architectures and improved neural network models, to enhance efficiency, accuracy, and adaptability over a diverse range of real-world applications.  


Healthcare is changing beyond recognition, in part driven by the fact most of us have powerful computers in our pockets, on our wrists, and in our homes. Digital health apps are being developed to leverage this capacity, to make patient monitoring, assessment, cheaper, and more efficient.

Modern AI is very good at picking out patterns in images, some of which even escape the human eye. One of the many areas where this has shown promise is in image analysis (PET, radio, MRI,) for diagnostics and prognostics purposes, e.g. to identify and monitor the growth of tumours from scans, to identify signs of diseases (e.g. nodules caused by diseases such as pneumonia in chest x-rays), etc.

The availability of large amounts of omics data (typically along the central dogma, i.e. genomics, transcriptomics, proteomics and combinations thereof) has opened new possibilities for diagnostics and prognostics, enabling patient stratification (the identification of subgroups of patients, such as subgroups that are likely or unlikely to benefit from specific therapies or subgroups with different prognosis, etc.), increasing diagnostic accuracy, reducing the need for invasive tests for e.g. cancer and pre-natal tests, etc. This underlines much of the precision medicine revolution.

Digital health

AI provides significant time and therefore cost savings across a number of medical imaging and diagnostic technologies. The capability of AI to carry out repetitive and large volumes of analysis of data can be utilised to and improve the accuracy and speed of diagnosis. For example, AI is being used to detect and highlight tissue abnormalities in radiology scans allowing radiologists to prioritise their time and focus on critical patient scans. Even simple blood tests can be better processed using AI where machine learning algorithms can be used to predict diseases and medical conditions with far greater accuracy than traditional methods.

AI coupled with telehealth is driving a shift in diagnostic testing currently carried in the clinical setting into the patient’s home with AI facilitating the early detection of data anomalies leading to earlier diagnosis of medical conditions with an associated improved patient outcome. For example, diagnosis of epilepsy in a clinical setting is typically time-consuming and costly. However, connected, wearable devices can be used to generate data for AI analysis which can be used to detect and predict epileptic seizures and to monitor response to treatment.


Cheminformatics (or chemoinformatics) is an emerging term for the use of computational methods and information technology to analyse, manage, and interpret chemical data.  

In the context of drug discovery, cheminformatics involves the analysis of chemical structures, properties and activities of compounds to identify potential drug candidates. It utilises computational tools to predict the bioactivity of molecules, understand structure-activity relationships, and streamline the process of designing new pharmaceuticals.  

In the field of material science, cheminformatics accelerates the materials discovery process, providing valuable insights, optimising properties, and facilitating the design of materials with tailored functionalities for specific applications.  


Advances in AI are driving developments within the field of robotics in a variety of ways, contributing to the evolution of more intelligent, more capable robotic systems and impacting industries ranging from manufacturing to healthcare and beyond.  

Machine learning enables robots to improve their performance over time, making them adaptable to new tasks and scenarios. For example, through deep learning algorithms, robots can achieve advanced functionalities such as object recognition, allowing them to identify and interact with objects within their environment with a greater precision.  

Another important AI application for robotics relates to path planning and navigation. AI-powered algorithms enable robots to analyse their surroundings, select optimal paths, and navigate through complex environments. This can be particularly advantageous in relation to logistics and manufacturing uses, where robots need to move efficiently and safely, often within dynamic spaces.  

A final example relates to AI enhancement of a robot’s ability to interpret and respond to sensory input. Robots can process information from various sensors to understand their surroundings. Artificial intelligence facilitates improved decision making in real time, enabling robots to interact more effectively with the world around them.  

Generative AI

Generative AI is a class of artificial intelligence involving the creation of new content based on patterns learned from pre-existing data.  

In the field of natural language processing, generative AI can be utilised for a range of tasks including: translation, summarising material, and even text generation. Models such as OpenAI’s GPT (Generative Pre-trained Transformer) demonstrate the power of large scale generative models. These models are trained on large volumes of diverse textual data, giving rise to the ability to generate coherent and contextually relevant responses.  

Patent Landscape in Bioinformatics and Digital Health: a data-driven analysis

Special Report

The words "digital health", "data driven" and "AI" have been on everyone's lips and in many headlines in the healthcare and life sciences sectors over the last couple of years. However, navigating this rapidly changing landscape can be challenging for those in charge of managing the IP associated with the innovations underpinning these changes.  

In this Special Report, we set out to collect data on the patent landscape in the fields of bioinformatics and digital health, to see whether the growth we and our clients see in the field is reflected in the data and whether insights can be gained from the data that will assist in designing better, more informed IP strategies.


Mewburn Ellis


Mewburn Ellis Forward is a biannual publication that celebrates the best of innovation and exploration. Through its pages we hope to inform and entertain, but also to encourage discussion about the most compelling developments taking place in the scientific and entrepreneurial world. Along the way, we’ll engage with the IP challenges that international organisations face every day.


Subscribe now
Forward Magazines Overlapping 8