At a Glance
- Tasks: Support legal tech projects and optimise knowledge systems using AI and data.
- Company: Reputable international law firm based in London.
- Benefits: Gain experience in cutting-edge legal technology and collaboration.
- Other info: Opportunity for growth in a collaborative and tech-driven environment.
- Why this job: Join a dynamic team at the forefront of legal innovation and knowledge sharing.
- Qualifications: Experience in knowledge management or information services, with a passion for tech.
The predicted salary is between 35000 - 45000 £ per year.
An opportunity for a Knowledge Analyst has arisen within an extremely reputable London based international law firm. This role sits within the legal technology practice of the firm and plays a key role in the development and optimisation of the firm’s knowledge and data capabilities. Working at the intersection of knowledge management, legal tech and AI, the position supports the firm’s intranet and collaboration platforms, know-how and precedent databases, and enterprise search and AI-enabled systems. It is also a key component in driving forward the firm’s use of data, search and emerging technologies, alongside its established culture of knowledge sharing and collaboration.
The key responsibilities and objectives of the role include, but are not limited to:
- Assist in the creation of intranet pages and team sites on the enterprise collaboration portal, with a focus on structuring and tagging content to optimise search and AI performance.
- Partnering with the intranet’s content editors on a day-to-day basis to ensure consistency in posting, editing and tagging, with an increasing emphasis on metadata quality and discoverability.
- Supporting Knowledge & Data and AI-related projects, including trialling proposed new systems, features and tools, and providing feedback and recommendations.
- Maintenance and ongoing development of the firm’s legal taxonomies, metadata structures and classification frameworks, including input into rules that underpin automated and AI-driven processes.
- Working closely with internal stakeholders to optimise the quality and accessibility of the firm’s know-how, helping to drive adoption and effective use of knowledge systems across practice areas.
- Acting as a key point of contact for knowledge lawyers and other users, supporting the structuring and curation of content within the firm’s central knowledge systems.
- Collaborating with IT and other teams to coordinate the testing, development and ongoing optimisation of the firm’s knowledge, search and AI-enabled systems.
- Supporting the evaluation of search and AI outputs, helping to improve accuracy, relevance and overall performance.
- Production of statistical usage reports and analysis of the firm’s knowledge systems, using insights to inform continuous improvement.
- Building continued momentum in the visibility, use and effectiveness of the firm’s knowledge and data tools across the business.
- Contributing to initiatives that promote engagement with knowledge systems and encourage a more data-driven approach to knowledge sharing.
To be suitable for this role, candidates will need a mix of the following experience and skills:
- Previous experience in a knowledge management or information services role in a legal, corporate or professional service environment (likely 1–2 years’ experience).
- Demonstrable experience working with knowledge systems, digital content platforms or enterprise search tools.
- An understanding of metadata, taxonomies or related data structuring principles, and an interest in how these support search and AI technologies.
- An aptitude for using and learning new technology or systems, with a strong interest in AI and emerging legal tech tools.
- Highly organised, methodical and detail-oriented approach to work.
- Highly developed communication and relationship-building skills.
- The ability to contribute to projects and manage tasks independently where required.
- A critical thinker that enjoys the challenge of problem solving, particularly in relation to data, systems and processes.
- Able to demonstrate the ability to be both a team player and to work in an environment with a high degree of autonomy.
- Relevant qualifications (particularly an MLIS or similar) would be a distinct advantage, but is not essential.
Knowledge Analyst - Law - London employer: CB Resourcing Ltd
Join a prestigious international law firm in London that champions innovation and collaboration within the legal technology sector. As a Knowledge Analyst, you will benefit from a dynamic work culture that prioritises knowledge sharing and employee development, alongside access to cutting-edge AI and data tools. With a commitment to fostering professional growth and a supportive environment, this role offers a unique opportunity to make a meaningful impact in the legal field while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Analyst - Law - London
✨Tip Number 1
Network like a pro! Reach out to people in the legal tech space, especially those working at firms you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got experience with knowledge systems or AI tools, make sure to highlight that in conversations. Bring examples of how you've optimised processes or improved data management – it’ll make you stand out!
✨Tip Number 3
Don’t just apply – engage! When you submit your application through our website, follow up with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Prepare for the tech talk! Brush up on the latest trends in legal tech and AI. Being able to discuss these topics confidently during interviews will show that you're not just a candidate, but a passionate future team member.
We think you need these skills to ace Knowledge Analyst - Law - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Knowledge Analyst role. Highlight your experience with knowledge management, legal tech, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Don't forget to mention your interest in AI and emerging technologies, as that's a big part of what we do.
Showcase Your Tech Savvy:Since this role involves working with various knowledge systems and AI tools, make sure to highlight any relevant tech skills or experiences. We love candidates who are eager to learn and adapt to new technologies, so let us know what you've got!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about joining our team at StudySmarter!
How to prepare for a job interview at CB Resourcing Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge management and legal tech concepts. Familiarise yourself with metadata, taxonomies, and how they enhance search and AI technologies. This will show that you're not just interested in the role but also understand its core components.
✨Showcase Your Experience
Prepare to discuss your previous experience in knowledge management or information services. Be ready to share specific examples of how you've worked with knowledge systems or digital content platforms, and how you contributed to their optimisation.
✨Ask Smart Questions
Come prepared with insightful questions about the firm's knowledge systems and their approach to AI and emerging technologies. This demonstrates your genuine interest in the role and helps you assess if the firm aligns with your career goals.
✨Demonstrate Team Spirit
Highlight your ability to work both independently and as part of a team. Share examples of how you've collaborated with others to drive projects forward, especially in relation to knowledge sharing and data-driven initiatives.
