Wilson Sonsini Accelerates Commercial Contract Review with Vera Engage

Challenge

High contract volumes, high stakes — and no room for AI error

Wilson Sonsini Goodrich & Rosati is one of the most prominent technology and growth company law firms in the world, with more than 1,000 attorneys across 19 offices. A large portion of the firm’s practice is devoted to cloud services companies. SaaS providers, infrastructure vendors, and platform businesses routinely execute hundreds or thousands of customer contracts per year, each requiring careful review against internal playbooks covering liability caps, indemnification, data privacy, service levels, and more.

For Wilson Sonsini, that volume translates directly into attorney hours. Associate time spent on routine first-pass contract review is time not spent on higher-value legal judgment.

The firm recognized the opportunity to apply AI to this work. But the legal profession’s risk profile made the bar unusually high. A wrong answer in a contract review isn’t a minor inconvenience; it can expose a client to significant commercial or legal liability.

Most AI contract review tools on the market were achieving accuracy rates around 50% on complex legal playbooks, far short of what a firm of Wilson Sonsini’s caliber could accept. The question wasn’t whether AI could help with contract review. It was whether any AI could do it accurately enough to be trusted.

Solution

A competitive 'bake-off' and a result that changed the firm’s calculus

To determine which, if any, AI solutions were right for their work, the firm ran a rigorous head-to-head evaluation — a structured “bake-off” comparing various AI offerings against a defined set of real-world playbook tasks. Among the solutions evaluated was Dioptra, now embedded natively within Vera Engage.

Vera Engage entered the evaluation with a distinct architectural advantage. The platform is built on advanced agentic AI frameworks designed specifically to handle the complexity of legal language: multi-clause issues, conditional logic, nuanced in-line edits, and the kind of inferential reasoning that distinguishes genuine legal analysis from pattern matching.

The results surpassed even the ambitious 90% accuracy target Wilson Sonsini had set as the threshold for serious consideration:

• 95% accuracy on first-party contracts
• 92% accuracy on third-party contracts
• 94% accuracy on issue detection (critical for due diligence and compliance use cases)

What distinguished the performance wasn’t just the accuracy score — it was the transparency behind it. Vera Engage surfaces its reasoning, showing attorneys not just what it flagged but why. That explainability proved decisive in building confidence with the firm’s review team.

“I was extremely impressed with some of the advanced reasoning. The agent correctly made some advanced logical connections I never would have expected, and having the agent explain its positions gave me a lot of confidence in its analysis.”
Chris Brookhart, Wilson Sonsini (Lead on the Evaluation Project)

The platform also demonstrated the ability to handle subtleties that earlier-generation tools missed entirely: single issues spanning multiple clauses, multiple issues within a single clause, and targeted in-line edits that corrected problems without unnecessarily rewriting surrounding language. This precision mattered to practicing attorneys who needed to trust, verify, and build upon the AI’s output, not clean up after it.

Benefits

From skepticism to standard practice: velocity at attorney-grade quality

Wilson Sonsini now uses Vera Engage as part of its Neuron Commercial service, a fixed-fee commercial contracting offering designed specifically for cloud services companies. Attorneys use the platform to support first-pass review of customer agreements, enabling the firm to deliver faster turnaround, more consistent analysis, and predictable pricing — a meaningful value proposition for clients closing high-volume revenue deals.

The impact on day-to-day associate work has been equally striking. What began as cautious pilot use has become embedded in how the team operates. The practical outcomes for the firm and its clients include:

• Faster deal cycles for cloud services clients, with first-pass contract review completed in a fraction of the time previously required
• Consistent application of complex legal playbooks across large volumes of agreements, reducing variability introduced by manual review
• Fixed-fee pricing made viable by AI-assisted efficiency, giving clients cost predictability on commercial contracting work
• Attorney confidence grounded in explainability — the ability to see and validate the AI’s reasoning, not just accept its conclusions

For a firm built on precision and client trust, the most significant outcome may be the shift in posture itself. Wilson Sonsini did not settle for “close second.” It held AI to the same standard it holds its attorneys — and Vera Engage delivered.