Legal AI has proven what is possible: faster research, contract review at scale, and instant answers from firm knowledge. But most tools come with a trade-off. Your data is indexed in the vendor’s cloud, you are tied to their model choices, and per-seat pricing can make firmwide adoption expensive.
A firm’s answer also rarely lives in one system. It may span iManage or NetDocuments, SharePoint, time and billing, and internal knowledge bases. Trustworthy Legal AI must search across them, reason over results, and show where each answer came from.
Why Attend?
This session explores what it means to own your AI rather than rent it. We will show how firms can keep client data and institutional knowledge inside their own environment, support UK, AU, and EU data-residency requirements, avoid model lock-in, control token costs, and complement Microsoft 365 Copilot and iManage without creating another silo.
You will also see Cerveau, KLapper’s reasoning layer, which searches connected systems in parallel and returns one answer with citations inside your tenant.
What We Will Showcase
- KLapper App connecting desktop work to firm knowledge.
- Private agents that search, reason, and generate documents from firm precedent.
- Unattended agents for reports, follow-ups, and first drafts.
- Cerveau querying DMS, SharePoint, time and billing, and other knowledge sources with citations behind every claim.
Key Benefits
- 100% private: data stays inside the firm.
- Token-aware AI designed to reduce costs by up to ~80%.
- Supports on-premises and cloud iManage with no data migration.
- Institutional memory and document generation where lawyers work.
- Defensible answers traced to evidence across connected systems.
Key Takeaways
Learn why ownership, privacy, cost control, multi-system reasoning, and traceable evidence are becoming the foundation of trustworthy Legal AI, and how firms can turn institutional memory into a lasting competitive asset.
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