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AI and Data Privacy: The Increasing Risk of Personal Data Breaches

In this article, Ruby Keeler-Williams of Elysium Law considers whether the recent developments in Artificial Intelligence have increased the risk of data breaches.

I was recently asked whether the recent developments in AI, particularly in relation to deep learning, and natural language processing have increased the risk of personal data breaches.

In my view, whilst AI will undoubtedly transform the way we live and work (in the legal profession alone, Allen & Overy have announced the use of an OpenAI developed prompt based generation tool, which I imagine will revolutionise how legal research and drafting is performed), it also poses unique risks and challenges when it comes to data privacy and security.

One potential risk is the use of AI in data processing. As AI algorithms become more sophisticated, they can be used to process vast amounts of data quickly and accurately. However, this will inevitably increase the demand for personal data as a ‘product’, meaning that increasing amounts of data will be collected and processed by companies. This will inevitably increase the risk of a breach of data, as the volume of data stored in systems vulnerable due to outdated software or hardware, or with unpatched vulnerabilities will only increase. The impact of a human error can also never be understated.

However, of particular interest is the potential, following the developments in natural language processing, for ‘Phishing’ scams to become more sophisticated and difficult to identify. NLP powered phishing scams have the potential to be particularly convincing because they can mimic human language and behaviour more accurately and, perhaps more pertinently, in a manner personalised to that individual. There is the potential for criminals to use NLP algorithms to analyse an individual’s social media activity, emails, or messages to create personalised, targeted phishing messages that appear genuine. The use of language will also inevitably make the messages more difficult to detect by traditional spam filters.

It has never been more important for individuals to be vigilant and cautious when receiving messages or emails that ask for personal information or include suspicious links or attachments. Businesses and organisations must also ensure that appropriate security measures are implemented to mitigate the risks posed by NLP-powered phishing scams. This should include training employees to recognise and report phishing attempts, implementing spam filters and firewalls.

If you have been affected by a breach of your personal data, please call us on 0151 328 1968 or contact us via to see if we can assist you.

Artificial Intelligence in the Legal Industry

In this article, David Brogelli of Elysium Law examines the increasing use of Artificial Intelligence in the Legal Industry and its practical applications going forward.

Artificial intelligence (AI) has been increasingly used in the field of law both in the United Kingdom and across the globe. There are a number of ways in which AI is being used to improve the legal process, including legal research, document review, and case prediction.


One of the main ways in which AI is being used in UK law is in the area of legal research. AI-powered legal research tools can quickly and accurately search through vast amounts of information, such as case law and statutes, making it easier for lawyers to find relevant information and make decisions. This can save time and money for both lawyers and more importantly their clients.

Another key area where AI is being used is in document review. This process is typically time-consuming and laborious, as it involves reading through large amounts of text to identify relevant information. AI-powered document review tools can help to automate this process, making it more efficient and accurate. This can be particularly useful in the context of e-discovery, where large volumes of electronic documents need to be reviewed in the context of litigation. Elysium Law uses powerful software which can help us sift through hundreds of thousands of pages to get the information we require.

Interestingly AI is also being used to predict the outcome of cases. By analysing patterns in past cases, AI algorithms can be trained to predict the likelihood of a particular outcome in a future case. This can be useful for lawyers and clients in planning their strategy and making decisions, although practically this is still in its infancy.

In addition, AI is being used to automate the contract review process, helping lawyers to identify errors, inconsistencies and identify missing information. This is particularly useful in the area of due diligence, where large numbers of contracts need to be reviewed.

However, it’s worth noting that AI isn’t without its limitations and challenges, such as bias and lack of transparency, etc. In order to ensure that AI is used in a responsible and ethical way, it’s important to have proper governance and regulations in place.


Of course, with any new development comes risk below are some of the limitations and concerns regarding the use of AI in the legal industry.

  1. Bias: AI systems may perpetuate and even amplify existing biases in the data they are trained on. This can lead to unfair or inaccurate decisions and is of course a very important consideration as the use of AI evolves. It also highlights the importance of human involvement.
  2. Lack of accountability: It can be difficult to determine who is responsible for errors made by AI systems, which can make it challenging to hold anyone accountable for those errors.
  3. Loss of jobs: The use of Artificial Intelligence in the legal industry may lead to job loss for lawyers and other legal professionals, as tasks that were previously done by humans may be automated. This is of course a global issue that will need addressing over the coming years as automation continues to increase and society develops.
  4. Complexity: The legal field is complex and nuanced, which can make it challenging for AI systems to accurately understand and interpret legal information.
  5. Lack of transparency: Some AI systems may be difficult to understand or explain, which can make it challenging for humans to understand how they are making decisions.


Overall, AI has the potential to significantly improve the legal industry both in the UK and globally, making it more efficient, accurate and cost-effective. As technology continues to develop, it’s likely that we will see more and more applications of AI in the legal field and we are certainly seeing significant investment from the UK Legal Industry. This of course will require regulation and the EU is leading in that regard. The European Commission already has a regulatory framework proposal that identifies the risks and uses of AI in the legal sector.

At Elysium Law we use several sophisticated programs to help us deal with clients’ matters efficiently and to save costs to the client. We continue to watch this development with interest.