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About The University of Law
The University of Law (ULaw) is one of the UK’s longest-established specialist providers of legal education. It also offers professional courses across law, business, criminology, psychology, computer science and education.
Through campuses across the UK, an international presence in Hong Kong and a strong online learning offer, ULaw provides flexible, career-focused education. The university maintains close links with the legal and professional services sectors, helping students prepare for professional practice.
The challenge
The University of Law set out to take a responsible, institution-led approach to generative AI.
AI was already becoming part of how students learn, how staff work and how professional practice is changing. ULaw wanted to respond in a way that supported learning, protected academic standards and gave students and staff access to an approved AI environment.
The university needed a platform that could:
- Give students faster access to trusted academic and practical guidance
- Help staff reduce time spent on repeat questions and manual tasks
- Give educators new ways to support learning and academic delivery
- Reflect ULaw’s teaching materials, policies, guidance and institutional knowledge
- Protect university and student data
- Support responsible AI use in line with ULaw’s standards
Rather than rely on public AI tools, ULaw chose Kalisa as the foundation for university-wide AI adoption.
The solution
ULaw is working with Kalisa through a multi-year strategic collaboration to introduce secure generative AI across the university.
From September 2026, the platform will be rolled out progressively to 17,000 students and 3,000 members of staff. This will position ULaw among the first UK universities to provide AI at this scale across students, educators and professional staff.
Built on Kalisa, the platform allows ULaw to create AI agents and experiences grounded in its approved knowledge. This includes teaching materials, academic policies, student guidance, support information and internal processes.
Students and staff will be able to ask questions in natural language and receive answers based on trusted university information. ULaw will retain control over the knowledge, sources and rules that shape these responses.
How ULaw will use Kalisa
Supporting students with trusted academic guidance
Students will be able to use Kalisa-powered AI agents to ask questions and receive answers grounded in university-approved materials.
This could include questions about course content, online lectures, study resources, academic policies, missed assessments, illness procedures, disability support and other areas of student guidance.
The aim is to make relevant information easier to access while helping students learn how to use AI responsibly as part of their studies and future careers.
Making learning more personal and inclusive
The platform is designed to support more personal and accessible learning experiences.
Where enabled, personal settings can help AI agents tailor responses around a student’s preferences, needs and learning context. Multilingual support can also make university information more accessible to ULaw’s international community.
This gives students more choice in how information is explained and structured, including those who benefit from different formats or more flexible ways of studying.
Helping educators and staff reduce routine work
Kalisa will also support ULaw educators and professional staff.
Staff will be able to use AI agents to find information, answer routine queries and access guidance more quickly. This could include academic policies, marking instructions, internal processes and common student questions.
Kalisa can also support academic tasks such as preparing feedback, analysing common cohort questions and finding relevant teaching materials. This gives staff more time to focus on teaching, student support and work that requires professional judgement.
Creating a safer alternative to public AI tools
ULaw is giving students and staff access to a secure, university-approved AI environment.
This reduces the need to enter university information into public AI systems and gives ULaw greater control over how AI is used across the institution.
Kalisa is private by design. University and student information is not used to train underlying AI models. The platform also supports encrypted data handling, approved sources and configurable guardrails aligned with ULaw’s policies and academic standards.
Supporting responsible AI in education
The partnership is based on a shared belief that AI should support learning, protect trust and help people use technology with care.
ULaw is not only teaching students about AI. It is creating a structured environment in which they can build practical experience using it responsibly.
This provides a foundation for the use of AI across teaching, learning, student support and university operations.
Impact
Through its partnership with Kalisa, The University of Law is building a secure AI foundation for modern professional education.
The collaboration will support:
- University-wide adoption: Progressive rollout to 17,000 students and 3,000 members of staff from September 2026
- Better student support: Faster access to trusted academic, practical and policy information
- More inclusive learning: Personalised and multilingual experiences that support different student needs
- Staff efficiency: Less time spent answering repeat questions, finding information and completing routine tasks
- Responsible AI use: An approved environment that helps students and staff use AI safely and effectively
- Academic integrity: University-controlled knowledge, approved sources and guardrails aligned with institutional standards
- Long-term institutional value: ULaw retains ownership and control of its knowledge, expertise and AI direction
For ULaw, the partnership is not simply about introducing new technology. It is about creating a responsible model for AI in higher education that supports students, empowers staff, protects institutional knowledge and prepares learners for professional practice.
