How to Evaluate Contract AI on Your Own Legal Contracts

Legal operations teams evaluating contract AI software and contract lifecycle management systems are navigating one of the more technically demanding purchasing decisions on the market.

Most legal ops professionals have a full slate of work beyond vendor evaluation. Building a rigorous test methodology, sourcing and grading sample sets, pressure-testing security and compliance postures, and modeling total cost of ownership is specialized work that takes real time, and it sits outside the core job for most of the people who end up doing it. It is the same bandwidth squeeze legal teams face when AI lands on their plate without added headcount — a challenge we cover in meeting corporate AI challenges with interim legal expertise. 

That is exactly the gap Legalpeople’s Contracts Management and AI Advisory was built to fill. We run the evaluation for you. Our team of attorneys and legal operations professionals brings a structured, vendor-neutral process to contract AI selection, so that the recommendation you bring to leadership is grounded in evidence from your own portfolio, not in a vendor’s demonstration environment.

Understanding what goes into a thorough evaluation helps explain why it is difficult to run alongside a full workload. The process has several moving parts, each requiring focused time and attorney-led legal judgment.

It starts with defining your actual use cases precisely enough that they can be tested. Extracting renewal dates from a large NDA portfolio is a different task than pulling indemnification language for an M&A diligence sprint, which is different from redlining inbound vendor agreements against a playbook. The evaluation only tells you what you need to know if it is scoped to the work that matters most to your team.

Corporate legal resource management creates variable cost structures that align with business activity. When deal flow increases or litigation spikes, you scale up. When activity normalizes, you scale down. This approach transforms legal from a rigid cost center into a responsive business partner that can adapt to changing market conditions without carrying unnecessary overhead.

From there, we build a sample set from your own contract portfolio, typically forty to sixty documents structured to reflect your actual mix of contract types, complexity levels, and edge cases, along with a control set of contracts we have already analyzed. We develop a consistent set of questions to run through each platform, run the testing, and grade every output to generate accuracy scores by field.

In practice, that means scoring each field for precision (is the extracted answer correct?) and recall (did the tool catch every instance?), measured against a control set we have already analyzed. Where a platform falls short, we provide specific recommendations on how to adjust the prompts to improve performance.

We evaluate workflow alongside accuracy. A tool that returns accurate answers but produces output that requires significant rework before it is usable, or that does not integrate with the systems your team already relies on, tends to lose adoption quickly. We evaluate holistically to ensure your software will work for the entire team and process.

At the end of the engagement, you receive a set of concrete, evidence-based deliverables your team can act on and your leadership can review.

The written recommendation is built to move through your internal approval process and to serve as a baseline for evaluating whether the software delivered on its promise over time.

We carry no platform partnerships, reseller arrangements, or referral relationships with any of the vendors we evaluate. Our recommendation reflects what the evidence from your contracts and your workflow supports. That independence is the foundation of what our vendor-neutral AI advisory team does. 

The contract AI environment is changing quickly, and the right answer for one legal team is genuinely not the right answer for another. Our process is designed to find the right answer for yours.

Some clients engage us at the start of an evaluation, before they have looked at any platforms. Others come to us partway through a process that has grown more complex or time-consuming than anticipated. Some are revisiting a purchase that did not deliver what they expected and want a more structured path forward.

Whatever the starting point, a baseline conversation is usually enough to give you a clear sense of where you are in the process and what a more rigorous path to a decision would look like.

Legalpeople AI Advisory handles contract AI tool selection from methodology through recommendation. Vendor-neutral. Attorney-led. Built around your portfolio.

Book a discovery call to schedule a baseline assessment.