The Pressure on In-House Legal Has Never Been Higher
In-house legal teams are managing more risk, more regulatory complexity, and more stakeholder pressure than ever, often with the same headcount and tooling they had two years ago. Volatility is constant across supply chains, AI adoption, and the workforce. General Counsel are being asked to help the business take smart, mitigated risks without slowing it down.
When we asked 92 senior legal leaders at Fortune 1000 companies what would help, 57.6% pointed to greater use of automation or legal technology, such as NDA tools and contract workflows. The appetite is clear. The infrastructure has not caught up. 64% say AI is already reshaping their business model, yet 66.3% have not updated key contract clauses in the past year to reflect emerging risks.
GCs Are Advising Through Turbulence. The Next Step Is Capacity.
GCs have figured out the hard part: advising the business through regulatory complexity, geopolitical uncertainty, and rising stakeholder pressure. The next challenge is doing more of it, faster, without adding headcount or risk. That means governed AI and automation built specifically for legal work — not borrowed from the consumer internet and applied to legal after the fact.
Litera is the trusted Legal AI platform built to help in-house teams increase capacity without increasing exposure. Rules-based accuracy refined over 30 years. A proprietary redline algorithm 100% more accurate than general-purpose large language models. No AI startup can replicate that head start overnight.
Inside the Report, You'll Learn:
In-house legal teams are managing more risk, more regulatory complexity, and more stakeholder pressure than ever, often with the same headcount and tooling they had two years ago. Volatility is constant across supply chains, AI adoption, and the workforce. General Counsel are being asked to help the business take smart, mitigated risks without slowing it down.
When we asked 92 senior legal leaders at Fortune 1000 companies what would help, 57.6% pointed to greater use of automation or legal technology, such as NDA tools and contract workflows. The appetite is clear. The infrastructure has not caught up. 64% say AI is already reshaping their business model, yet 66.3% have not updated key contract clauses in the past year to reflect emerging risks.
GCs Are Advising Through Turbulence. The Next Step Is Capacity.
GCs have figured out the hard part: advising the business through regulatory complexity, geopolitical uncertainty, and rising stakeholder pressure. The next challenge is doing more of it, faster, without adding headcount or risk. That means governed AI and automation built specifically for legal work — not borrowed from the consumer internet and applied to legal after the fact.
Litera is the trusted Legal AI platform built to help in-house teams increase capacity without increasing exposure. Rules-based accuracy refined over 30 years. A proprietary redline algorithm 100% more accurate than general-purpose large language models. No AI startup can replicate that head start overnight.
Inside the Report, You'll Learn:
- Why 66.3% have not updated key contract clauses in the past year, and what that exposure looks like
- What it takes to build an AI vendor review process that legal can actually stand behind
- A best-practice playbook for adopting Legal AI without adding risk to the business
- The specific supply-chain, AI, and workforce risks senior legal leaders ranked highest, and where their teams are already exposed