Harvey partnered with
@appliedcompute to train a legal agent.
We optimized each part of the agent stack:
- eval loop
- agent harness and compaction
- post-trained GLM-5.1 using reward signal from our Legal Agent Benchmark (LAB)
More in our agent-training deep dive: