Absorb Software

When Karina Rudnytsky joined Absorb as its first in-house counsel, she owned contracts plus compliance, information security, privacy, IP, and enterprise risk. Institutional knowledge lived in people’s heads rather than documented processes, making consistent fallback positions hard to apply. Absorb scaled from roughly 300 to nearly 700 employees in three years, driving higher contract volume and complexity while the legal team stayed lean (a contracts manager and a paralegal without a contract background). A CLM centralized contracts and enabled basic workflows, but day-to-day redlining remained weak—often replacing entire sections instead of making precise, playbook-aligned edits.

After evaluating multiple AI contract review vendors, Absorb adopted Ivo for context-aware, surgical redlining aligned to Absorb’s negotiating positions and playbooks. Junior team members use Ivo to run agreements through playbooks, get explanations of unfamiliar provisions, and review suggested redlines before escalating. The team valued high-quality redlining, fast product iteration, and low ramp time for new members.

Ivo reduced dependence on the VP of Legal for routine questions and escalations, cutting ramp time and increasing junior self-sufficiency. Absorb resolved 11% more contract requests year-over-year with the same legal headcount and cut overall contract review time by 50%. Gains held despite a contracts manager’s maternity leave, onboarding a fractional lawyer, and rising deal complexity, while legal leadership shifted focus to privacy, AI governance, vendor risk, and strategic work. Sales velocity and trust with account management also improved.

• • A CLM alone may not fix negotiation and redlining quality; purpose-built AI review can fill that gap when edits must reflect company playbooks.
• • Playbook-aligned AI redlines can let junior counsel and contracts staff handle more volume without adding headcount.
• • Throughput gains are most credible when measured against the same headcount amid real operational disruption (leave, fractional coverage, harder deals).