About Good Terms

Good Terms was built by a team with backgrounds in software engineering and machine learning in close collaboration with attorneys and legal professionals. We believe legal AI can do more than generate answers and point back to supporting passages. Important legal work should be reviewable in a way that is repeatable, explicit, and auditable.

We are building a verification platform that combines machine learning with structured verification methods to examine legal documents and deal data from perspectives that complement both human and AI review. Instead of asking someone to repeatedly retrace an analysis, Good Terms can apply the same checks across documents, connecting findings to the evidence behind them, making clear what was supported, contradicted, or left unresolved and explaining why.

Our goal is not to replace legal judgment. It is to reduce the time spent checking work, make important checks easier to repeat, and give lawyers another way to catch issues that humans or general-purpose AI systems may overlook.