Ivo Secures $55M to Advance Contract Intelligence for Enterprise Workflows

AI-powered contract intelligence company Ivo has raised $55 million in Series B funding, marking a significant milestone in its effort to transform contracts from static legal documents into a reliable source of business intelligence. The round was led by Blackbird, with participation from Costanoa Ventures, Uncork Capital, Fika Ventures, GD1, and Icehouse Ventures.

The funding follows a year of rapid momentum for the company, driven by strong enterprise adoption, measurable performance gains, and growing recognition that contract data has become one of the most underutilized assets inside large organizations.

A Workflow Under Pressure

Contracting has quietly become one of the most strained workflows inside modern enterprises. Legal and procurement teams are asked to review more agreements than ever, often under tighter timelines and increasing regulatory scrutiny. At the same time, contracts contain critical information about revenue, risk exposure, obligations, and supplier relationships—yet much of that intelligence remains locked in unstructured text.

Ivo was built to address this disconnect. Rather than treating contracts as documents to be stored and retrieved, the platform approaches them as a living data layer that can be queried, analyzed, and connected across an organization. Its tools are designed to help in-house teams review agreements faster while also gaining portfolio-level visibility that would be impractical to achieve manually.

From Faster Review to Consistent Decisions

One of Ivo’s core offerings, Ivo Review, focuses on contract review itself. The system standardizes how agreements are evaluated by applying lawyer-built playbooks and precedents across every review. This allows organizations to maintain consistency in legal positions while dramatically reducing the time required to assess new contracts.

Customers report that reviews can be completed in a fraction of the time traditionally required, with some citing time savings of up to 75 percent compared to manual processes. For globally distributed teams handling large volumes of contracts, that efficiency compounds quickly.

Equally important is accuracy. Ivo emphasizes “surgical precision” in review, reflecting the reality that even small deviations in contract language can have material consequences. By aligning AI outputs closely with internal standards, the platform aims to build trust among legal teams that are often cautious about automation.

Making Contract Libraries Searchable and Actionable

Beyond individual reviews, Ivo Intelligence expands the scope to entire contract libraries. Instead of relying on manual tagging or months-long audits, organizations can surface insights across thousands of agreements in seconds. Teams can answer questions about obligations, renewal terms, indemnities, or risk exposure without combing through documents one by one.

The system also identifies connections between agreements and highlights standard versus non-standard positions, giving teams a clearer picture of how contracts relate to one another. This kind of visibility allows legal departments to move from reactive contract handling to a more proactive, strategic role within the business.

Adoption Across Global Enterprises

The pace of adoption seen across large organizations reflects a broader recalibration of how enterprises approach legal and contract technology. As contract volumes increase and business risk becomes more interconnected across functions, in-house teams are moving beyond traditional document management toward systems that can surface meaning from legal text at scale. This shift is especially pronounced among multinational companies, where contracts span jurisdictions, languages, and regulatory regimes, stretching manual review processes past their limits.

Across the industry, demand is rising for tools that combine accuracy, explainability, and strong data controls. Multilingual capability and confidentiality safeguards are increasingly viewed as baseline requirements rather than differentiators, particularly as legal teams are asked to support faster commercial decision-making without sacrificing rigor or compliance.

Investment Signals a Maturing Market

Recent investment activity points to a legal AI market that is entering a more mature phase. Investors are showing greater interest in platforms that move beyond experimentation and can withstand sustained, real-world use in high-risk environments. This reflects a growing recognition that legal technology is less forgiving than many other enterprise domains, and that reliability and workflow alignment matter more than novelty.

The emphasis has shifted toward systems that integrate naturally into existing processes and demonstrate consistent performance over time. As a result, capital is increasingly flowing to companies that can prove operational depth rather than those offering broad, generalized AI capabilities.

Contracts as a Strategic Data Layer

More broadly, the rise of contract intelligence signals a structural change in how organizations treat legal agreements. Contracts are beginning to be viewed not simply as records of past negotiations, but as a strategic data layer that informs future decisions. As AI-driven analysis improves, contract data is becoming easier to connect with finance, procurement, compliance, and risk functions, creating a more unified picture of organizational obligations and opportunities.

This evolution has meaningful implications. Faster access to contract insights can improve negotiation strategies, reduce compliance blind spots, and support more informed planning across the enterprise. Over time, it may also reshape the role of legal teams, positioning them closer to the center of business operations rather than at the end of the approval chain.

The funding behind companies in this space underscores a wider industry belief that the next generation of enterprise software will be defined less by how well it stores information, and more by how effectively it helps organizations understand and act on it.