Our Technology

We started with a practical problem: not enough customer data to train meaningful models. So we pulled public contracts from the SEC's database, labeled them ourselves, and built our own ML models from scratch. This gave us complete control over quality and accuracy, and let us shape AI into something actually useful instead of just impressive on paper. Those early decisions still power everything we build today.

Most vendors bolt AI on after the fact, either by acquiring companies or plugging in third-party APIs. We took a different approach and built our AI infrastructure from day one. That means every AI feature is deeply integrated with the platform, not sitting in a silo. Features work together, improve each other, and evolve as a system, so users see exponential improvements over time instead of isolated gains.

We help teams cut contract review time by 50% or more, automatically spot risky clauses, surface metadata without manual tagging, and turn implementation timelines from weeks into hours. Our AI drives decisions through risk scoring, clause detection, redlining, and dynamic Q&A that all feed into how legal and business users interact with contracts, saving time and lowering risk.

No. That's what makes us unique. Through features like AutoML and GenAI, we've eliminated the need for technical expertise. You simply  label a few clauses, or even describe what you want, and our models handle the rest. Customers have trained thousands of models without ever involving a data scientist.

Absolutely. Sort Assist automatically classifies contract types, languages, signatures, and duplicates. This is crucial for post-acquisition cleanup or enterprise-scale onboarding. What used to require a dedicated migration team now takes minutes instead of months, and sets up all the downstream contract intelligence instantly.

We use GenAI where traditional ML falls short, like in redlining, clause explanation, and interactive contract Q&A. Our GenAI can reason through playbooks, justify its suggestions, and adapt to different negotiation styles. Unlike point solutions, it connects to risk scoring, search, and metadata, making every interaction smarter.

Yes. We've embedded our AI into platforms like Salesforce and Workday, so users can redline, monitor risks, or ask contract-related questions without ever opening IntelAgree. The platform meets people where they work, so legal intelligence isn't confined to the legal team anymore.

Our redlining goes beyond compare-and-replace. It uses AI to understand negotiation context, company playbooks, and the risk implications of each clause. One Fortune 500 healthcare organization, for example, chose us partly because our redlining matched the depth and nuance their legal team needed, while competitors offered shallow substitutions.

Not anymore. Traditional ML required 20-100+ examples to train a model. With GenAI, you can start with zero labeled data. Just describe the clause or risk you care about, and the platform finds it. Over time, your interactions create a feedback loop that improves accuracy automatically.

Everything in IntelAgree is built to interconnect. Tagging improves search. Search improves risk scoring. Risk scoring improves redlining. And all of it flows into Saige Assist: Contract Advice, where users ask questions and get better answers based on the intelligence the platform has gathered along the way.

We continuously test open-source and commercial models in real product environments. The decision always comes down to what performs best for actual customer use cases. For ML, we use proprietary models. For GenAI, we use a mix, but often rely on OpenAI models because of their superior instruction-following, which is essential for contract redlining and Q&A.

IntelAgree is a fully featured CLM platform. We offer the same core capabilities as any top-tier provider: contract creation, negotiation, eSignature, repository, reporting, etc. But we have deeper, smarter AI integrated at every layer. Our AI isn't a sidecar — it’s the engine.

Yes. Customer data always stays private and secure. We don't use customer contracts to train GenAI models. GenAI responses are based only on prompts within each customer's instance — never shared, never reused. That's a key difference between how we handle traditional ML (which uses anonymized, tokenized data across customers) and GenAI (which keeps context and content isolated per customer). It's also why we can show our work using your contracts, not anyone else's.

Yes. You can start a free trial and see how Saige Assist works with your contracts.
Start your Saige Assist test experience here →