Pilot — Q1 2026
docket.ai
AI intake automation for law firms. Captures intake calls, qualifies matters, drafts engagement letters, and routes to attorney review.
Production AI systems. Built to ship.
Bespoke systems for clients who need the model behind a real workflow, not a slide. Multi-model infrastructure, agentic systems, and the evaluation discipline that keeps them honest in production.
Shipped & in-flight
Research-active
codex-synaptic
Neural mesh networking — coordination layer for distributed inference across heterogeneous compute fabric.
Capabilities
Multi-model orchestration
LiteLLM-style routing across 50+ cloud + local inference targets, with cost/latency/quality routing rules.
Agentic systems
Tool-using agents with MCP-based integration, structured eval, and observability built in from day one.
RAG + retrieval
Production retrieval pipelines: ingestion, chunking, hybrid search, reranking, and grounded generation with citation enforcement.
Evaluation + governance
Behavioral and capability evals, drift detection, and the audit trail to satisfy enterprise compliance review.
Inference-time scaling
Distillation, compilation, and reasoning-model deployment patterns derived from current literature, not vendor decks.
Legal tech
Operating under Arizona ABS regulatory umbrella for AI-assisted legal product work.
Talking to us
For client engagements: chris@cld-dev.io. Include the problem, the constraint, and what shipping looks like for you.