

Sales sends the order form. A few days later, it comes back with redlines.
The liability cap has been rewritten. The payment terms have moved from Net 30 to Net 60. A new indemnification obligation has been tacked on. The customer's legal team has spent an afternoon marking up your paper, and now the rep is looking at a track-changes document wondering which edits to accept, which to push back on, and which to escalate.
This is where most deals lose days. The rep isn't qualified to evaluate the redlines alone. Legal has a queue. The customer is waiting for a reply. Every hour the deal sits, the quarter gets shorter.
goHeather is how sales teams move through that moment in minutes instead of days.
Sales contract turnaround time is a real issue. Research from Thomson Reuters shows 40% of organizations now use generative AI for contract work, nearly double the 22% reported a year earlier. That shift is a clear sign manual legal review is no longer the default in deal cycles. When a customer's redlines arrive, though, the sales team still tends to face two bad options.
Neither option scales. At five deals a quarter, legal can probably keep up. At fifty deals a quarter, legal either becomes a bottleneck or starts getting skipped.
A Playbook in goHeather is a set of rules the company has decided in advance. For sales contracts, the Playbook captures your positions on the clauses that keep coming up in every negotiation: payment terms, liability caps, indemnification, auto-renewal, termination, governing law.
Someone on your team authors the Playbook once. After that, goHeather checks every incoming redline against every rule automatically. Sales doesn't need to remember your company's position on a liability cap. The Playbook remembers it, and goHeather applies it.
Any function at the company can own the Playbook. Legal is the obvious author for sales paper, but sales ops, finance, or revenue leadership can also own specific Playbooks when they have clear authority over a particular position. The point is that the rule gets written once and then runs every time.
The rep's workflow is three steps. Upload, review, respond.
The rep does the negotiation. goHeather does the cross-checking. A contract that would have taken two days in a queue takes ten minutes on a rep's desk.
Self-serve is not the same as "no legal involvement." goHeather is built for the routine majority of sales contracts where the redlines fall inside a Playbook the company has already thought through. Some moments still need a human lawyer.
This is the 95/5 split in practice. The routine majority moves at sales-rep speed. The exception minority gets the human attention it actually needs.
Legal's work changes in this model, from "review every redline" to "set the Playbook, handle the exceptions, and keep the rules current." That's not legal as a bottleneck. That's legal becoming the infrastructure the business runs on.
The next time a customer's redlines come back, the rep does not need to wait for legal, and does not need to guess. The Playbook has the positions. goHeather enforces them. Most redlines get resolved on the rep's desk, in minutes. The ones that need a lawyer still get one.
Try goHeather on your next customer redline →
This article is for general information only. goHeather provides AI tools that generate AI information for use by humans; it is not a law firm and does not provide legal advice. Consult counsel in your jurisdiction for your specific situation.
Jeff Dutton is a lawyer who advises on technology, corporate, privacy, commercial, employment and real estate law.
Jeff founded his own small law firm, Dutton Law, in 2016 (and merged it with a larger firm in 2019). Before that, Jeff was a prosecutor and a commercial law lawyer at a national boutique law firm.
Jeffrey is a frequent lecturer on legal matters and has been published in newspapers and trade journals. In addition, Jeff was the editor and co-author of a leading employment law text for lawyers for many years.
Education:
Western University, BA (2009)
University of Ottawa, Faculty of Law, JD (2012)

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