š” Inspiration Many young adults ā especially students under 25 ā don't fully understand rental contracts or their legal rights. Agreements are full of complex legal jargon that's easy to sign without truly understanding. LeaseMate was built to change that: a tool that strips the legalese, flags the risks, and explains exactly what you're agreeing to ā in plain English.
š What It Does Upload your rental contract (PDF or DOCX). Answer 5 quick questions about your situation. LeaseMate extracts the contract text, personalises the analysis to your circumstances, and presents the results as: š Post-it flags ā danger, warning, and good news at a glance š Must Know cards ā severity-ranked issues with legal citations and action steps š” Good to Know ā useful context (council tax exemption, quiet enjoyment, etc.) š Key Terms strip ā rent, deposit, duration, notice period pulled instantly
š§ Challenges AI hallucination ā solved by engineering a ground-truth prompt system anchored entirely to a custom YAML knowledge base of UK housing law (including the upcoming Renters' Rights Act 2025) Messy document extraction ā PDFs with complex layouts and tables required careful handling with PyMuPDF Strict JSON output ā heavy prompt tuning was needed to prevent the LLM from adding any conversational text that would break the frontend parser
š Accomplishments Built a legal tool that speaks Gen-Z without dumbing down UK housing law Grounded the AI with a custom YAML covering 33 legal clauses across 11 law sections Connected a full pipeline: 30-page PDF legalese ā personalised student context ā structured JSON ā intuitive visual dashboard Includes the Renters' Rights Act 2025 ā legislation most tools haven't caught up with yet
š What's Next We want to bring LeaseMate to Student Unions so it can help real students with their rental contracts. This is a first prototype ā the foundation is solid, and we're confident it can genuinely protect young renters.
š„ Team Built at HackSussex 2026 by:
Kazi Abdul Baset (https://www.linkedin.com/in/kazi-abdul-baset-ba7114242/) Leonie Ma (https://www.linkedin.com/in/leonie-ma-046b71335/) Muhammad Fachrul Hudallah (https://www.linkedin.com/in/muhammadfachrulhudallah/) Sadia Malik (https://www.linkedin.com/in/sadia-malik-ab45b9306/)