Experience
Products and interfaces your team actually opens — in the browser, in your existing tools, or through our API.
Book a demo
Book a demo
Lawvy Technologies builds the layer where agents, voice, vision and data science run on your enterprise's own knowledge — grounded, auditable, and deployed inside your infrastructure.
HONEST BASICS
foodspring
Partnered with PineOS
Most AI tools bolt a chat box onto a search index. Lawvy is built as layers — each one addressable on its own, each one accountable to the layer beneath it.
Products and interfaces your team actually opens — in the browser, in your existing tools, or through our API.
Task-scoped agents that plan, call tools, and hand work back with a full trace of what they did.
Multi-model orchestration, routing and evaluation — with confidence and citations surfaced, not hidden.
Your documents, records and systems of record — parsed, versioned and indexed inside your own tenant.
Everything above is only as good as the layer beneath it.
Voice, vision, language and hard numbers — built as one stack, so an agent can take a call, read a document, query a model and write back to your ERP without leaving the platform.
Build agents that plan a task and call the tools they need, then wire them into your ERP, CRM, ticketing and internal APIs through a typed, permissioned layer.
Real-time speech agents that hold a natural conversation, take instruction and act on it — with the same grounding and audit trail as everything else.
Read what was never text: scanned documents, forms, photographs, inspection footage — extracted into something your systems can act on.
Ask your data questions in plain language and get the answer, the chart, and the query behind it — so the number can be checked, not just trusted.
Prompts and policies evolved against your own evals, with each task routed to the model that actually wins on it. Higher accuracy, lower spend, no lock-in.
Forecasting, optimisation, anomaly detection and causal inference — the problems that need real modelling rather than a prompt.
The stack doesn't change from sector to sector — the systems it plugs into and the decisions it has to defend do.
Orchestrate customer communication, KYC and back-office review across core systems that were never built to talk to each other.
Cut decision time without loosening a single control.
Automate patient communication, triage recurring queries and keep records moving — with clinical caution built into every escalation.
Always-on support without adding headcount.
Unify store, marketplace and support data into one operating view, then let agents act on it across every channel.
Faster resolution, higher repeat purchase.
Detect churn signals early, route expansion to the right owner and take the repetitive half of support off the queue.
Retention up, response time down.
Research, drafting and review sharing one memory of the matter — the field we know best, and the one LawyerOS was built for.
Every output traceable to the page it came from.
Handle booking changes, itinerary questions and issue resolution in real time, in the guest's own language and channel.
Guest satisfaction without the queue.
We use our own stack. Each product takes the platform into a field where the work is document-heavy, high-stakes and overdue for agents.
Agentic AI for legal teams — a workspace where research, drafting and review all share the same memory of the matter.
More in development The platform is domain-agnostic — we're building the next products now. Tell us what you need →
Answers are assembled from retrieved passages. If the source isn't there, the model says so instead of filling the gap.
Each customer runs in their own environment. No cross-tenant retrieval, no training on your data.
Every retrieval, tool call and edit is logged — so a result can be reconstructed months later.
Agents propose, people approve. Sensitive and high-risk actions always stop for review.
Tell us where the time goes, and we'll show you the part of it Lawvy takes back.