AI productivity impacts in contract negotiation and professional workflows

Artificial intelligence is being utilized in diverse ways that can either optimize complex processes or hinder professional productivity. In legal and business contexts, AI can act as a ‘Contract Embellisher.’ This concept builds on Howard Raiffa’s ‘Post-Settlement Settlements’ theory, where an analytical intervenor uses AI to solve mathematical optimization problems after a contract has been reached. By probing parties for confidential interests, the AI can suggest improved terms—such as adjusted delivery schedules—that maximize value for both sides without the risks associated with using AI during initial negotiations.

Conversely, AI can lead to productivity drag in general professional workflows. Research from the McKinsey Technology Trends Outlook 2026 indicates that productivity fell in 30 percent of companies after teams began using agentic AI tools. Common signs of this drag include spending excessive time correcting AI-generated errors, fact-checking inaccurate information, or managing repetitive outputs, which can ultimately take longer than performing the tasks manually.