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Not long ago, submitting a well-structured Data Subject Access Request (DSAR) took time. It required a working understanding of data protection rights, a sense of how organisations process information, and often a fair amount of persistence. Now, it takes five minutes with a free GenAI account. That shift hasn’t changed the law. But it has changed the experience of DSARs in a way that privacy teams are starting to feel quite acutely. What we’re seeing isn’t a surge in bad-faith requests. It’s something more nuanced and more challenging. Requests are becoming easier to generate, more sophisticated in tone, and harder to deal with efficiently. How is AI changing the DSAR landscape? Generative AI has changed how DSARs are created, and this is reshaping the workload for privacy teams. The barrier to entry is lower A requester no longer needs to understand your processing activities – or even the structure of
Striving For the Ultimate Goal In previous articles in the Discovery Risk Mitigation series, we’ve firstly outlined the overall journey, then explored how to assess your current maturity from an eDiscovery and Information Governance perspective, and most recently,
Improving preparedness to eDiscovery events In the previous article, we explored considerations when assessing your current eDiscovery and information governance maturity. Having undertaken that exercise and established a benchmark, clearly, the next step is to
Assessing your corporate capability to respond effectively to investigations and eDiscovery events. In an earlier post, I introduced Discovery Risk Mitigation, our structured journey-based approach to helping organisations reduce their exposure to the risks inherent within
Mitigating the eDiscovery risks due to the explosion of electronic data in your business through a structured programme of preparedness. Being Prepared I’m sure most people are familiar with the expression “prevention is better than
Technology has a gone a long way towards streamlining investigations, but one particular area of evidence has consistently flown under the radar of all the usual forensic tools: bank statements. “Following the money” using these
Monitoring employee conduct has always been part of the corporate environment. In many cases, it’s an essential component of prevention strategies for data leaks, fraud, theft of intellectual property and other potentially harmful behaviour. Monitoring
Many businesses are under the impression that the biggest risk to their data security comes from external cyber-attacks breaching their perimeter. In our experience investigating security breaches, however, we can confidently say that equally damaging
In our interactions with clients and prospects we have increasingly seen a need amongst corporate compliance as well as forensic and security professionals, for supervisory and monitoring capabilities in their environment. The primary objective being
As the name implies, the World of data science is, by definition, dependent on data, and that is certainly the case when it comes to machine learning modelling in the context of eDiscovery. Be it supervised or
It is generally accepted that the single largest cost in addressing any eDiscovery exercise is neither the technology nor the litigation support teams employed, but rather it is the cost of lawyer review time. And that makes
As investigators or Forensic professionals, surely we can all relate to the pressures that we are put under when starting an investigation. The client typically wants to know how long the investigation will take, how
Helping clients reduce their litigation risk exposure might sound counter-intuitive to legal services firms whose lifeblood is billable services. And that is precisely what Discovery Risk Mitigation sets out to do. Firstly, to ensure that clients understand