Make contract negotiation edits attributable and infer intent to propose better alternatives

Make contract negotiation edits attributable and infer intent to propose better alternatives targets a $12.0B = 4M businesses × $3K ACV representing global teams that negotiate contracts (legal/sales/procurement) total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR (industry reports for CLM and contract automation markets).

Key trends driving demand: Remote and asynchronous negotiations are increasing — teams need better digital workflows that capture intent rather than rely on in-person cues.; CLM and e-signature penetration are maturing, enabling an integration layer focused purely on negotiation rather than full lifecycle replacement.; Advances in NLP and intent classification make it feasible to infer negotiation motives from brief edits and comments with business-useful accuracy..