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Streamlining data management: Key steps in data reduction – Part 2

Antony WellsIn our first article, we outlined the significance of data minimisation for law firms, especially as they transition to electronic and cloud-based document management systems. We covered the definition and principles of data minimisation, the challenges of moving to cloud environments, and the importance of minimising data prior to migration to streamline processes and reduce risks. We touched on the benefits for law firms such as reduced storage costs and enhanced cybersecurity. We concluded Part 1 emphasising the strategic advantages of data minimisation in cost reduction, security enhancement, and compliance, urging law firms to prioritise these practices in their digital transformation efforts.

Streamlining data management: Key steps in data reduction – Part 1

Antony WellsWhile technology and new compliance regulations are growing at an alarming rate, legal services face the challenge of handling data, particularly with the shift towards online and cloud-based systems for document management. The increase in the amount of data brings more responsibility in managing the costs of storage and data transfer, as well as protecting the confidentiality of client information against unauthorised access. This article, the first in a series, looks at data minimisation as a strategy for managing data, focusing on keeping only what is necessary for valid legal reasons.

The roadmap to successful information governance - Part 2

Antony WellsEngaging stakeholders with effective tactics

In part 1 of our series on building a business case, Chris Giles provided the framework for building a business case that will resonate with organisational leaders and secure the support and resources to launch initiatives that will propel the organisation forward. In part 2 of our series, Antony Wells explores the methodology and the art of communicating the message.

What Every Corporate Legal Department Should Know Before Implementing a GenAI Solution

GuptaGenerative AI can be a powerful tool for automating routine yet important tasks, allowing corporate attorneys to focus on more value-added work, like practicing law. However, concerns linger about the accuracy and reliability of generative AI output and the technology’s ability to effectively maintain data privacy and security. These concerns are being addressed head on, with both government action and various industry initiatives defining necessary guardrails for this rapidly evolving innovation. 

The roadmap to successful information governance

Chis GilesEngaging stakeholders with effective tactics – Part 1

Headlines today are frequently dominated by data breaches and news of additional rules and regulations governing the management and use of information. As a result, organisations find themselves at a crucial juncture, facing both significant risks and opportunities. The scope of information governance has transitioned from being a side task to becoming a central focal point.

AI in 2024: Should We Still Be “Moving Fast and Breaking Things”?

Jan Van HoeckeWhere are things headed with AI in the coming year? What trends should legal IT professionals be aware of if they hope to obtain the best results with this technology? From whether it’s wise to continue dabbling with in-house AI experiments, to determining if “move fast and break things” is the best approach for something as complex as artificial intelligence, there’s much for legal IT professionals to pay attention to and be aware of in this ever-evolving environment.

Leaving Yesterday’s Benchmarks in the Dust

The first thing to be aware of is that the technology is advancing very quickly – and even as it becomes more powerful, it increasingly becomes more accessible to end users. 

Document and Email Technology Predictions for 2024

Tiger Eye logoAs trusted advisors to law firms around the globe, we're often asked about the latest trends in legal tech and how firms can make the most of new opportunities. In this guest article, we aim to help legal professionals stay ahead of the game by providing expert insights on emerging document and email technology trends in 2024.

A Triple Win: Optimizing Legal Matter Resourcing & Work Allocation for Everyone

Dave CookLaw firms are looking at legal matter resourcing and work allocation strategies in a new light. They’re adopting data-centric strategies to invest in their associates, creating a ripple effect that also fuels partner success and client satisfaction. 

This win-win-win approach leverages the interconnectedness of associate career development, targeted partner support, and client satisfaction to secure your firm’s position in the increasingly competitive legal landscape. 

Ascertus’ Perspective on Legal Tech Trends in 2024

Damian JealComing into 2023, who would have thought that generative AI will cause such a frenzy globally. After all, not only has AI been on the horizon for a long time, but it has already been in use, even though it might be invisible to us as end users. And perhaps therein lies the difference between AI and generative AI – the latter uses natural (i.e., human) language processing, making the technology supremely accessible to everyone. Hence, it’s popularity and the widespread embrace of ChatGPT.

The 5 Essential Steps for your Legal Knowledge Management Journey

Tiger Eye logoThe most successful law firms understand that knowledge is the sector’s most valuable asset. At Tiger Eye, we are truly passionate about legal knowledge management - the process of creating, documenting and using firm-wide knowledge and experience to accelerate workflows and ensure consistency of outputs. This is because we have worked with organisations around the world to boost productivity and drive greater value for clients through unlocking, capturing and centralising internal know-how, so we have experienced first-hand the powerful impact of effective knowledge management. 

Expect strong M&A activity within the LegalTech market says DAI Magister

Adam AzizRecent years have seen significant advancements in Natural Language Processing (NLP), particularly with the development of Large Language Models (LLMs) like GPT. These advancements, coupled with continuous improvements in data accessibility and computational resources, have markedly enhanced the capacity of LegalTech companies to automate complex text analysis. According to Goldman Sachs, Artificial Intelligence could replace as much as 40% of legal work.


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