Jurist – Your AI contract partner
– Primary user: Commercial lawyers
– Type of work: High-stakes, complex legal work involving the interpretation, application, or practice of law, including drafting, redlining, and risk analysis.
– Use Cases: Drafting, redlining, summarization, risk analysis
– How does it work?: Invokes agents to act on complex tasks, like identifying risks in an agreement or drafting precise, negotiation-ready legal revisions aligned with company standards.

Ironclad Assistant – Your go-to for every day tasks
– Primary user: Legal ops, procurement, and other business users
– Type of work: Daily, lower-risk, transactional work like surfacing contract terms and renewal dates.
– Use Cases: Answers questions, finds data, surfaces insights and intelligence
– How does it work?: Answers natural language queries like “Show me all my contracts with non-standard payment terms” or “What are the specific actions I need to take on this workflow?”

Your data stays yours. Ironclad’s AI NEVER exposes sensitive or identifiable information from your contracts—our AI is informed by anonymized, aggregated patterns, meaning what you get is the intelligence that comes from scale, without any privacy tradeoff. If you choose to opt in to data sharing, it helps improve the global model for everyone and ensures your use cases are better reflected—but it’s entirely optional, and your protections don’t change either way.

Ironclad’s AI doesn’t just understand what contracts say—it understands how they actually move and live. That’s a meaningful distinction. Most AI tools analyze contract language in isolation. Ironclad’s AI is informed by structural intelligence and workflow depth built from anonymized patterns across 2+ billion processed contracts—giving it a contextual understanding of how deals actually get done that no document-only AI can replicate.

– You always stay in control and your data stays confidential.
– Any customer data used to train Ironclad’s AI models is anonymized and aggregated prior to use.
– We continue to enforce strict “do not train” and “zero data retention” policies with external LLM providers.
– Output generated for other customers by AI products leveraging models trained on your data will never include your customer data. Ironclad employs strict security standards in line with industry best practices, and this extends to our protection of training data
– Ironclad’s existing security and compliance posture (SOC 1 and 2 type II, ISO 27001/27701/27017/27018, GDPR program, CSA Trusted Cloud Provider, etc.) remains in force.

We work to ensure AI outputs are accurate, explainable, and free from bias through a combination of systematic evaluation, data governance, and human oversight.

– Evaluation Framework: Every AI feature is tested through Ironclad’s Evaluation Framework, which measures accuracy, consistency, and reliability against curated benchmarks and real-world contract data.
– Human-in-the-Loop Reviews: Subject matter experts validate model outputs throughout development and deployment, creating continuous feedback loops that improve quality and detect potential biases early.
– Data and Model Governance: All models operate under Zero Data Retention (ZDR) with third-party providers, and training data is carefully controlled to reflect diverse contract types and jurisdictions.
– Explainability and Transparency: Our AI solutions are designed to surface reasoning context where possible (e.g., highlighting extracted properties or showing redline rationale), allowing users to trace and verify AI-driven recommendations.