guidesJune 17, 2026· 4 min read

Cache Rig (Rust) in your legal document assistant with Crowkis

Building legal document assistants on Rig (Rust)? Add a semantic cache so the same clauses and questions across matters stop costing full price.

Legal document assistants built on Rig (Rust) share one problem: the same clauses and questions across matters. Each repeat is a full-price Rig (Rust) call for an answer you already have.

Put a semantic cache in front. Point Rig (Rust)'s base URL at the Crowkis OpenAI-compatible gateway, or wrap the call in get-or-compute, and reworded repeats are served from cache, no rewrite of your legal document assistants logic.

Rig (Rust) + Crowkis

base_url = "http://127.0.0.1:6380/v1"   # Crowkis gateway, semantic cache in front

In plain words: The legal document assistants keep working exactly as before; the repeats just stop hitting the model.

On repetitive traffic this cuts costs up to 60-70% on repetitive workloads, and every hit carries a confidence score so reuse stays safe. Drop it in over RESP, gRPC, REST, or MCP, no rewrite required.