The Legal Tech Old Guard Learns New Tricks

Clio’s latest AI launch is a shift from case management to full-scale competition with AI-native rivals

“Clio for Enterprise is the culmination of years of investment and a clear vision for the future of legal technology,” said Jack Newton, CEO and founder of Clio.

This week, Clio announced Clio for Enterprise, a new division and AI suite designed for the world’s largest law firms and corporate legal teams. The suite includes Clio Operate, Vincent by Clio, Clio Library, and Clio Docket. In its release, the company described the move as the next phase of its two-decade push to modernize the legal industry, this time targeting firms that operate at global scale and complexity.

Clio’s Evidence of an Upward Move

Clio’s scale and financial strength are already established. In mid-2024, the company closed a $900 million Series F funding round, valuing it near $3 billion, according to Reuters. Clio says its platform now supports over 200,000 legal professionals across 130 countries.

In March 2025, Clio acquired ShareDo, a UK-based work-management platform used by firms including DLA Piper and Linklaters. That system now underpins Clio Operate, a configurable workflow and analytics tool built for large-firm governance. Already used in the UK, Operate will launch in the U.S. first. 

The company followed that with a US $1 billion acquisition of vLex in June 2025, giving it a research and content foundation of over 1 billion editorially enriched legal documents across 110 jurisdictions. vLex’s data powers Vincent by Clio, which the company says delivers 3.7 times greater accuracy and a 38 percent productivity lift on key workflows compared to general AI models.

Clio’s enterprise rollout emphasizes auditability, explainability, and court-admissible citations. It integrates with iManage, NetDocuments, and SharePoint. Its Vincent Studio environment lets firms customize AI tools without engineering support. Clio says eight of the ten largest global law firms are already using Vincent.

These details show a company using acquisitions and infrastructure to move beyond small-firm management and into enterprise-grade AI.

The AI-Native Benchmarks

Clio’s new positioning puts it in the same competitive frame as Harvey, the San Francisco-based legal AI startup backed by OpenAI and Sequoia. Harvey raised $100 million in Series C funding in 2024, reaching a valuation near $1.5 billion, and reports adoption across 500 law firms and corporate legal departments.

In June 2025, Harvey and LexisNexis announced a strategic alliance to embed Lexis content and Shepard’s citation validation directly into Harvey’s AI workflows. “Our customers trust LexisNexis for authoritative legal content, and we’re excited that they will benefit from LexisNexis capabilities within the Harvey experience,” said Winston Weinberg, Harvey’s CEO.

That content partnership gives Harvey’s AI verifiable citation integrity, an important differentiator in legal settings. Benchmark studies published by LawNext and Artificial Lawyer earlier this year ranked Harvey and CoCounsel among the most accurate AI systems for legal tasks. In the VALS AI Benchmark, Harvey scored 94.8 percent on document Q&A, topping the field.

Meanwhile, industry research still finds error rates that limit AI adoption. A 2024 study of retrieval-augmented legal AI tools found hallucination rates of 17 to 33 percent, depending on complexity. Another 2025 paper comparing AI and human invoice review showed that a top model achieved 92 percent accuracy versus 72 percent for experienced lawyers, processing data in seconds instead of minutes. 

Those data points outline the competitive context: high capability, but with measurable and scrutinized performance variance.

Where Clio Now Stands

Clio’s record now puts it in direct comparison with AI-native vendors. It combines scale (200,000+ users), capital ($900 million in new funding), content (via vLex), and operations (via ShareDo). Its enterprise AI products are tied to measurable claims: a 3.7× accuracy gain, a 38 percent productivity lift, and real reference customers.

By contrast, AI-native firms maintain technical and speed advantages. Harvey’s integration with LexisNexis demonstrates a depth of content embedding that few incumbents match. Its smaller footprint also enables faster iteration cycles and experimentation with agentic AI tools.

Enterprise buyers, though, evaluate on a different axis: scale, security, compliance, and track record. Clio brings those attributes. It is approved by over 100 bar associations worldwide and operates in more than 130 countries. For many corporate legal departments, that institutional weight matters as much as raw technical capability.

When firms conduct side-by-side pilots or RFPs, they will measure Vincent’s real-world error rate, integration performance, and audit controls. They will check whether Clio’s security certifications, governance, and pricing hold up against specialized competitors.

Clio has now assembled a coherent, data-driven AI platform that connects the business and practice of law. AI-native firms still lead in specialization and iteration, but Clio’s breadth, scale, and enterprise alignment make it the strongest incumbent challenger in the market. The next test (in 2026 procurement cycles and large-firm pilots) will show which system delivers cleaner, more defensible results and earns the trust of Big Law at scale.

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Picture of Mukundan Sivaraj
Mukundan Sivaraj
Mukundan covers the AI startup ecosystem for AIM Media House. Reach out to him at mukundan.sivaraj@aimmediahouse.com.
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