AI agents & multi-agent systems
Goal-driven agents that plan, call tools, and hand off work. Multi-agent orchestration for workflows where one model isn't enough.
Lawbotic Labs designs and builds AI agents, retrieval-augmented assistants, and multimodal pipelines engineered for enterprise data, enterprise constraints, and real users.
Goal-driven agents that plan, call tools, and hand off work. Multi-agent orchestration for workflows where one model isn't enough.
Document ingestion, chunking, embedding, hybrid retrieval, and evaluation harnesses. Built for accuracy in regulated environments.
Domain-specific assistants embedded into your product or internal tools, with guardrails, citations, and human-in-the-loop fallback.
Text, voice, and vision pipelines for enterprise workflows. Audio transcription, image understanding, structured extraction at scale.
Add AI features to your existing stack without a rewrite. Streaming, function calling, fallbacks, observability included.
Eval harnesses, prompt management, regression tracking, latency and cost dashboards. So you can ship AI changes with confidence.
Most AI projects fail in scoping and silently die in handover. We've built the engagement to make both unavoidable.
Map the problem, the data, the constraints. Identify the single outcome that matters. We say no to projects we can't make a real dent in.
A small working slice in one to two weeks. Real model, real data, real users if possible. Value before scope.
Production engineering: types, tests, evals, observability, rate limits, secrets. Weekly demos, real artifacts every Friday.
Documentation, runbooks, eval harnesses, and engineer training. Your team owns it. We stay on call as long as you need.
We use what's known to work in production. Swapping providers is cheap when the eval harness is solid.
Tell us what you're trying to build. We reply within 24 hours.