What AI can and cannot safely do
Language models are good at first-pass work: summarizing long documents, extracting parties, dates and obligations, flagging clauses that differ from a playbook, and drafting routine correspondence. Retrieval over your own precedents and clause libraries keeps answers grounded, with each claim linked to its source passage so a lawyer can verify it quickly. Each answer carries its evidence, and users can correct or reject it, creating a feedback loop that steadily improves extraction quality for your own document types.
They are not reliable authorities on law, and fabricated citations have embarrassed lawyers in court. Our designs therefore require sources, show uncertainty, restrict legal research to trusted databases and keep the lawyer as the decision maker. Evaluation against your own sample documents matters far more than vendor claims on benchmarks. The goal is a trusted assistant that accelerates routine reading, with accountability staying exactly where professional rules say it must.
