For a global cybersecurity company operating in a sector defined by speed, the legal function had a mandate to keep pace. The business had committed to an AI-first approach, and the legal team needed to make that real — not inspirationally, but in day-to-day work, with results the business could see.
The challenge was structural. Three workstreams — commercial, procurement and shared services — each running at volume. AI tools existed but adoption was uneven. Legal knowledge sat in individuals' heads. Contract quality varied depending on who picked up the work. The team needed a way to embed AI systematically and demonstrate its impact in terms that mattered to the business.
Working alongside the client's legal team, Factor embedded AI across all three workstreams: in contract review, in playbook development, in training designed to build AI fluency at every level of the team, and in dedicated engineering support for the client's own legal technology development.
Early results were concrete: 54% of procurement contracts were AI-assisted; 22 AI-driven initiatives completed across 9 practice areas. More than 8 AI-powered playbooks were live, covering NDAs, MSAs, data protection, conflict of interest guidelines and more.
One of the deeper problems the engagement addressed was variability. In a team handling high volumes across multiple practice areas, quality had depended on experience and institutional memory — both unevenly distributed. Escalations were frequent. New team members faced a steep learning curve.
The playbook framework changed the dynamic. With clear guidance on standard positions, fallback options and escalation triggers, any team member could handle complex commercial work accurately and independently. Quality became a product of the system, not the individual.
AI analysis of the client's negotiated contract portfolio also surfaced opportunities to improve templates, reducing friction at source. Most of the volume the team handles now closes in zero to one negotiation rounds.
A year ago, AI utilization in the client's compliance workstream was effectively zero. Today it stands at 41%, with turnaround time down 27% year on year. Those efficiency gains were not absorbed as cost savings. The legal team redeployed them towards higher-value commercial work — exactly the direction the business wanted to go.
Factor also took on quality assurance for the client's AI-powered legal agent, reviewing 525 sessions, identifying systemic failure patterns and building a structured improvement roadmap. This is a new category of work: not just deploying AI, but governing and improving it continuously. Factor embedded that capability into the engagement from the start.
A regulatory review that used to take 2.5 hours now takes 30 minutes. An AI benchmarking program tracks performance across the engagement. The playbook and quality assurance models are replicable across engagements and teams.
What this client has built is not a bespoke experiment. It is a working model for what an AI-first legal function looks like when the ambition is matched by execution.
Find out more about Factor's AI-integrated legal services.
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