Gavelnet.ai helps lawyers and knowledge managers cut research time, compare authorities, and explain results with unmatched clarity.
Semantic vectors with legal signals (BM25, statutes, authority) for precise case law results.
See exactly why a case is relevant — statutes, issues, and reasoning are made transparent.
Cases decomposed into Facts, Issues, Reasoning, and Outcome for faster review.
Designed alongside lawyers and knowledge directors to fit real research workflows.
Our mission is to make legal knowledge auditable, accessible, and explainable. Gavelnet.ai is built on Singapore’s corpus of judgments today, and engineered to extend to other common-law jurisdictions through modular ingestion, citation normalisation, and taxonomy mapping. As clients onboard, we roll out additional “jurisdiction packs” (e.g., Malaysia, UK, Australia) so firms can search, compare, and explain case law across borders with a consistent reasoning layer.
I come from data engineering. I saw the chance to bring explainable AI to legal research without turning it into a black box. Gavelnet.ai is built to amplify legal expertise — with clear logic, visible signals, and a design that scales from Singapore to other jurisdictions as your needs grow.
Blends semantic vectors (FAISS), keyword scoring (BM25), statute/section matches, and local authority boosts. Fewer false positives, better on-topic hits.
Every result comes with a “why this matched” panel: statutes overlapped, shared issues, reasoning snippets, and match strength. No guesswork.
Place up to three cases side by side. Contrast facts, issues, holdings, and sentences in a structured layout to spot what truly matters.
Save authorities, add notes, and keep argument lines together. Export when you are ready to brief or share.
Explore relationships across cases, statutes, and themes in an interactive network. Follow a line of authority in seconds.
Auditability first. Signals are visible, steps are documented, and rankings are explainable for professional use.
Start with Singapore’s corpus today, and extend to Malaysia, UK, or Australia tomorrow. Modular ingestion and citation normalisation make cross-border search seamless.
Built for large firms with existing infrastructure. Gavelnet.ai connects to Active Directory / LDAP for secure user management and integrates with document management systems like iManage, NetDocuments, or SharePoint. Planned support for file servers and in-house knowledge repositories ensures research is unified under one explainable AI layer.
Reach the right authorities quickly, show why they fit, and assemble arguments with less re-reading and tab-hopping.
Build a consistent, explainable research layer for your firm. Train juniors faster and keep everyone aligned on sources.
A defensible, explainable AI platform designed for regulated workflows and scalable to other domains of case-heavy reasoning.
Why hybrid signals and transparency will define the next decade of legal tech.
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How structured reasoning improves retrieval, comparison, and confidence for trial and appeal work.
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Our approach to combining FAISS, BM25, statute normalisation, and local authority boosts.
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