Contracts keep coming your way. Sometimes it’s a hiring freeze or a budget cut. Sometimes it’s hypergrowth outrunning headcount. Either way, the backlog doesn’t wait for you to catch up.
The pressure is profession-wide. In ACC’s 2026 Chief Legal Officers Survey of 1,049 CLOs across 43 countries, 35% named chronic budget and resource constraints as their top barrier to success, and 47% said their CEOs now expect them to build technology and AI proficiency.
GC AI is the enterprise legal AI platform built for in-house teams. More than 2,000 legal departments across 53 countries run on it, from small startups to Fortune 500 and Global 1000 legal teams, including Arc’teryx, Snyk, and Tipalti.
Here are the ten pain points we see in-house teams face most, and how GC AI takes each one off their plate:
Lean legal teams overwhelmed by contract volume
Contract execution crowding out strategic work
Growing outside counsel costs
The gap between generic AI and legal-grade answers
Broken trust after a failed tool
Contract review that stops at redlining
Regulatory compliance work eating attorney time
Growing teams that need tools before headcount
Proving ROI for budget approval
New in-house counsel with no one to ask
Lean Legal Teams Overwhelmed by Contract Volume
At a payments company, a newly hired deputy general counsel inherited a two-month backlog of sales contracts on day one, with no one to hand them to. Working solo with AI contract review, she cleared it in her first week. The wedge is clearing that backlog with the team you already have. A regional bank down a headcount, with no budget to backfill, ran the same play.
GC AI reviews and redlines contracts inside Word itself, so clearing a backlog doesn’t mean hiring or learning a new tool.
Contract Execution Crowding Out Strategic Work
A global manufacturer’s commercial legal team spent its weeks moving contracts through intake, redline, and routing, while the higher-value work waited.
On GC AI, one task that used to take a full week now takes 10 to 15 minutes. The team freed up more than 40 hours a week for the work it was hired to do.
That reclaimed capacity is what C-suites are watching for: in Thomson Reuters’ 2026 State of the Corporate Law Department report, 86% of general counsel say their department contributes significantly to business success, and only 17% of C-suite executives agree.
GC AI’s Playbooks feature encodes a company’s standard positions and fallbacks once, then applies them automatically on every contract that comes through, so intake and routing stop eating the calendar.
Growing Outside Counsel Costs
During a hiring freeze, a Fortune 500 food company ran the math. At $800 an hour for outside counsel, the work still had to go somewhere.
In one month on GC AI, its team handled more than 111 hours of work it would have sent out the door, a projected ~$963K a year in outside-counsel spend the department keeps in-house. At $475 an hour, another customer found GC AI paid for itself in under 10 hours of use.
The Gap Between Generic AI and Legal-Grade Answers
A cybersecurity company tested GC AI against Claude and ChatGPT on real legal prompts and chose GC AI for its accuracy on the work that mattered. That gap is measured in our 2026 In-House Legal Bench (a set of 100 real in-house legal tasks):
GC AI: 86.8%
ChatGPT: 79.8%
Claude: 68.4%
Gemini: 57.5%
Beyond the score, answers come with source citations and a three-level response format, framed for the law firm, the in-house counsel, and the business.
That format is the tell of an AI platform built for legal, and lawyers feel the difference the first time they use it.
Broken Trust After a Failed Tool
The same manufacturer whose commercial team was buried in contract execution had also lived through a failed contract-AI rollout in 2023. This time, the team wanted proof they could check themselves, not another vendor’s word for it.
GC AI’s trial gave them results they could verify line by line, with Exact Quote citations tracing every answer back to the source document, and that brought them back to a category that had already let them down once.
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Contract Review That Stops at Redlining
At a SaaS company, an earlier evaluation stalled because the previous legal lead saw AI as a redlining software and left it there. The team that won the deal saw the whole picture: research, negotiation prep, playbooks, and cross-team collaboration in one place.
That same instinct extends past any single contract.
With Contract Intelligence, you can point GC AI at your entire contract base, however it’s stored today, and ask questions across all of it: which vendor agreements have uncapped liability, which leases renew this quarter, what you actually agreed to three CLMs ago.
Every answer comes back cited to the source document, so you can check it yourself instead of taking the AI’s word for it. Connect a Vault to Google Drive, SharePoint, OneDrive, Dropbox, or Ironclad, and the terms you name land in a cited, sortable View.
A general counsel at a private-equity-backed software company, whose ten-lawyer team supports more than two dozen product lines, runs her repository exactly this way:
“We don’t need a CLM if our tool can already take all those terms, pull them out of the contract, we get them in an orderly fashion in a table, and then we upload it to a database.”
Regulatory Compliance Work Eating Attorney Time
The same regional bank that cleared its headcount gap also got immediate time savings on contract review and regulatory compliance work, with no IT setup required to get started.
This workload is growing fastest of all: AI regulation posted the largest year-over-year jump of any concern in ACC’s 2026 CLO survey, up 21%.
GC AI’s Regulatory Monitoring Skill scans the jurisdictions and risk areas you choose, checks every flagged change against the bill or regulation, and delivers a prioritized list of what to act on, so compliance work stops eating hours the team needs elsewhere.
Growing Teams That Need Tools Before Headcount
A solo general counsel started using GC AI at one company, then brought it to his next one.
As the legal team grew from one lawyer to six, everyone got a seat and they moved up to a team plan. Cameron Clark, Head of Legal at Arc’teryx, lived the same climb from the other side: the company’s only lawyer for the first year, handling the workload of a full legal team on his own. Contract feedback that used to take an hour to review and answer now takes ten minutes, with better results.
“We simply wouldn’t have been able to keep up without GC AI.”
Proving ROI for Budget Approval
The strongest AI business case is numbers an executive champion can take upstairs. Alexandra Sepulveda, Assistant General Counsel at Trust & Will, has seen it firsthand: “You can literally see the time saved in GC AI, and if you report to a CFO, that lands.”
Seat usage, hours saved, ROI against outside-counsel rates: those are the numbers that get a budget approved, freeze or no freeze.
They are also rare: in a 2025 ACC and Everlaw survey of 284 legal leaders, 12% of departments track technology ROI and 16% track outcomes relative to cost. Walking in with GC AI’s built-in reporting puts you ahead of nearly nine in ten peers.
New In-House Counsel With No One to Ask
That same newly hired deputy GC who cleared the payments company’s backlog, a consumer brand’s solo legal department, and a medical device company’s in-house counsel all describe a version of the same first month: complex work, no ramp time, and nobody to ask.
GC AI works like an always-available expert colleague, the one who has seen this contract before and tells you where to look. Our free legal AI classes build those same instincts faster, taught by lawyers who have already done the job.
The same private-equity-backed software GC coaches her newer lawyers on exactly this: “Where we can supercharge our younger or more inexperienced team members is, frankly, is context.” Her standing instruction to them: tell GC AI you are new to this type of role, then ask.
Try It on a Real Contract
Every team on this list started the same way. They ran GC AI on a real contract and watched it work. You can too.
