Bridging the eDiscovery Gap

By Dr Tristan Jenkinson Introduction Last week I read a fantastic article by Kelly Twigger (of eDiscovery Assistant fame). The article talks about the "eDiscovery Disconnect", and addresses the gap created in eDiscovery when lawyers responsible for the legal strategy in a case hand off the disclosure area to litigation support or an external vendor. … Continue reading Bridging the eDiscovery Gap

Generative AI and eDiscovery – Adoption in the Courts – Part 2

By Dr Tristan Jenkinson Introduction In part one of this series, I discussed a section within Practice Direction 57AD which could potentially be used to allow for the use of Generative AI for the conduct of disclosure, assuming that the relevant workflow can be demonstrated to be reliable, efficient and cost-effective. I also discussed each … Continue reading Generative AI and eDiscovery – Adoption in the Courts – Part 2

Generative AI and eDiscovery – Adoption in the Courts – Part 1

By Dr Tristan Jenkinson Introduction At the recent Legal 500 Commercial Litigation Conference in London, one of the panels focused on the question “Do the existing Practice Directions support the adoption of Generative AI?” I wanted to provide a few thoughts of my own on the topic, as there is far more to be discussed … Continue reading Generative AI and eDiscovery – Adoption in the Courts – Part 1

Legal Data Intelligence – Initial Thoughts

By Tristan Jenkinson Introduction Since it debuted at the CLOC Global Institute earlier this month, there has been a lot of talk about the new Legal Data Intelligence framework, and rightly so. The new framework has been envisaged as a new approach to provide “a vocabulary, framework, and best practices to manage legal data”. You … Continue reading Legal Data Intelligence – Initial Thoughts

eDiscovery Horror Stories 2023

By Dr Tristan Jenkinson Introduction I haven’t posted recently due to work commitments and other personal projects. I have been working on a few things (including taking a course on the Ethics of AI), and I have a whole list of blog posts that I still want to get around to writing (neither the “Importance … Continue reading eDiscovery Horror Stories 2023

UK Disclosure Case Law Update – September 2023

By Dr Tristan Jenkinson Introduction I’ve seen some interesting points covered in cases recently, and thought that it might be helpful to share. In particular two cases which cover different angles to the new disclosure rules. A (Very Brief) New Rules Recap As they are covered in depth in the cases below, I thought that … Continue reading UK Disclosure Case Law Update – September 2023

ChatGPT: A LegalTech Perspective – Part One – What is ChatGPT?

By Dr Tristan Jenkinson Introduction OpenAI’s ChatGPT application has been a huge talking point in the world of for the best part of the last 10 months. The application was made available for the public in November last year, and just two months later, had already gained 100 million users (see for example this Guardian … Continue reading ChatGPT: A LegalTech Perspective – Part One – What is ChatGPT?

The Importance of Data that Doesn’t Exist – Part Three (Missing Metadata – A Case Study)

By Dr Tristan Jenkinson Introduction In this series I am looking at the importance of data that is not present. In the previous two articles, I have looked at the use of timelines in identifying missing data, reasons that data from some sources may appear to be missing and considered potential steps to take or … Continue reading The Importance of Data that Doesn’t Exist – Part Three (Missing Metadata – A Case Study)

The Importance of Data that Doesn’t Exist – Part Two (Missing Data Sources)

By Dr Tristan Jenkinson Introduction In part one of this series of articles, I spoke about the importance of data that is not present, and the use of timelines in investigating where missing data may exist. In this article, I discuss data that may be missing (or may appear to be missing). Those working in … Continue reading The Importance of Data that Doesn’t Exist – Part Two (Missing Data Sources)