AI assistant for in-house legal teams that reviews documents, drafts emails, and generates contracts.
Wordsmith runs multi-stage inference chains — up to a hundred nested inferences — over Slack messages, Zendesk tickets, pull requests, and legal documents, deliberately mixing models from several providers to hold accuracy while cutting cost and latency. LangSmith is the spine of that work at every stage: hierarchical tracing during development, published evaluation sets that let the team benchmark a newly released model and ship it the same day, production error triage by trace link, and experiment analysis mapped from its Statsig feature flags through LangSmith tags.
wordsmith.aiSources last verified Sep 7, 2026
Receipts · 2
“LangSmith has been vital to understanding what’s happening in production and measuring experiment impact on key parameters.” — blog.langchain.dev, Jul 8, 2024
“Wordsmith has published a variety of evaluation sets for various tasks” — blog.langchain.dev, Jul 8, 2024
Source last verified Sep 7, 2026
