# Recursa

Recursa splits adaptation to a new domain into two steps: it bootstraps a navigable knowledge repository from domain materials, then has the same model act as both solver and learner, with parallel child learners diagnosing, editing and validating revisions to instructions, skills and memory. On Harvey LAB's Firm Knowledge legal benchmark, all-pass rate on held-out test tasks rises from 30.0% to 55.0% with DeepSeek-V4.1-Flash as solver and from 35.0% to 46.0% with Qwen3.8-Flash, with no stronger model or human expert writing the revisions.

Recursa splits adaptation to a new domain into two steps: it bootstraps a navigable knowledge repository from domain materials, then has the same model act as both solver and learner, with parallel child learners diagnosing, editing and validating revisions to instructions, skills and memory. On Harvey LAB's Firm Knowledge legal benchmark, all-pass rate on held-out test tasks rises from 30.0% to 55.0% with DeepSeek-V4.1-Flash as solver and from 35.0% to 46.0% with Qwen3.8-Flash, with no stronger model or human expert writing the revisions.