General Competency in AI for Chambers Staff
Designed for clerks, administrators, and all chambers employees, this course covers the BSB’s May 2026 AI guidance from a staff perspective — giving you the knowledge to use AI appropriately, protect client confidentiality, and support your chambers’ compliance obligations.
Duration
1 Hour
Lessons
6
CPD Hours
1
Certificate
On Completion
WHAT YOU WILL LEARN
Six outcomes from this training
Understand why the BSB’s AI guidance applies to chambers staff, and what your role is in supporting your chambers’ compliance obligations
Know what AI competence means for chambers staff and why basic literacy in the technology is now a professional expectation
Recognise the risks of adopting AI tools without proper governance, and understand what chambers needs to have in place before any tool is used
Understand the technology management procedures your chambers should have in place, and your responsibilities in following them
Apply client confidentiality and data protection obligations correctly when using AI tools in your day-to-day chambers role
Meet your obligations under the BSB’s AI guidance as a chambers employee, and support your set in demonstrating compliance
About this training
The BSB’s May 2026 AI guidance sets out clear expectations for how AI should be governed and used across chambers. Those obligations extend beyond barristers — chambers staff who handle client data, use AI tools, or support barristers’ practices are part of the compliance picture too.
This course gives chambers staff the foundational knowledge to use AI appropriately and in line with your chambers’ obligations. It covers what the guidance requires, where the risks lie, and what good practice looks like in a chambers environment. Written and delivered by Briefed’s in-house barristers, it is designed to sit alongside your chambers’ AI policy and support chambers-wide compliance.
Key topics
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1
The fundamentals of AI
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2
AI’s risks to chambers and barristers’ practices
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3
Client confidentiality and data protection obligations
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4
Technology governance and acceptable use
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5
Real-life scenarios and applications for chambers staff
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6
The AI tech stack and tools used across the Bar
Frequently asked questions
Artificial intelligence (AI) refers to computer systems or software that can perform tasks that normally require human intelligence. These include problem solving, language understanding, visual perception, learning, and decision-making. AI systems can be trained to recognise patterns, make predictions, and adapt based on new data.
The BSB’s May 2026 AI guidance is addressed primarily to barristers, but it has clear implications for chambers as a whole. Chambers leaders are responsible under Core Duty 10 for ensuring their set has appropriate governance structures in place. Staff who handle client data or use AI tools as part of their role are part of that compliance framework, and should understand the obligations that apply to the chambers they work in.
The BSB recommends a risk-based approach. Before adopting any AI tool, chambers should assess its data security and confidentiality implications, review contractual terms, and ensure appropriate governance structures are in place. All members and staff who use AI tools should have training to understand the risks involved.
Generative AI is a type of AI model that can create new content, such as text, images, audio, or video, rather than simply analysing existing data. Tools like ChatGPT and Microsoft Copilot are examples of generative AI that are already in use across the legal sector.
AI works by analysing large sets of data, identifying patterns, and learning from them to make predictions or decisions. It relies on machine learning and deep learning models to produce results for its users. The quality and accuracy of those results depend heavily on the data the system was trained on.
Machine learning is a branch of AI that enables systems to learn from data without being explicitly programmed. Instead of following fixed rules, machine learning algorithms find patterns in historical data and use those patterns to make predictions or recommendations.
Deep learning is a branch of AI and machine learning that uses artificial neural networks to learn from large amounts of data. These networks are made up of many layers, allowing a system to detect complex patterns and relationships automatically without being explicitly programmed to do so.
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Briefed works with chambers on AI policy, governance, and advisory support. If your set needs more than training, we can help.