Master Harvey with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Contact Harvey's enterprise sales team to request a demo tailored to your firm's practice areas and workflow requirements, including a needs assessment and ROI analysis for your specific use cases. Participate in a structured pilot program deploying Harvey to a specific practice group or office, allowing attorneys to evaluate accuracy, time savings, and workflow integration before committing to a firm
wide rollout. Complete comprehensive user training on Harvey's capabilities across contract analysis, legal research, and document drafting, then work with Harvey's implementation team to configure SSO, DMS integration, and firm
specific workflows.
💡 Quick Start: Follow these 3 steps in order to get up and running with Harvey quickly.
Explore the key features that make Harvey powerful for enterprise agents workflows.
Proprietary language models fine-tuned on millions of legal documents from OpenAI and Anthropic foundation models, delivering domain-specific legal reasoning with minimized hallucination risk and verified citation generation for case law, statutes, and regulations.
Analyzing complex merger agreement provisions across hundreds of contracts to identify change-of-control clauses, assignment restrictions, and indemnification terms that deviate from the firm's standard playbook.
AI-powered analysis that extracts key provisions, identifies risks, compares terms against firm playbooks, and flags deviations across large contract portfolios — reducing weeks of manual review to hours of AI-assisted analysis.
Processing hundreds of vendor contracts during M&A due diligence to extract pricing terms, liability caps, termination provisions, and IP assignment clauses, then generating a structured risk summary for the deal team.
Enterprise-scale document review, case law research, motion drafting, and e-discovery support that accelerates litigation workflows from initial case assessment through trial preparation with AI-assisted analysis at every stage.
Reviewing millions of emails and documents in a complex commercial litigation matter for relevance and privilege, then generating case summaries and identifying key evidence to support motion practice.
Automated case law and statutory research with verified citations, precedent analysis, and jurisdictional comparison that reduces research time while maintaining professional accuracy standards and minimizing hallucinated references.
Conducting comprehensive legal research on novel antitrust issues, identifying relevant precedents across federal circuits, distinguishing unfavorable cases, and generating a research memorandum with verified citations.
AI-powered legal writing that generates drafts of contracts, memoranda, briefs, client letters, and corporate filings based on firm-specific templates, style guides, and precedent documents, learning from the firm's own work product.
Drafting complex commercial loan agreements based on firm precedents, automatically incorporating jurisdiction-specific provisions and flagging areas requiring attorney judgment on deal-specific customization.
Real-time attorney-client privilege screening and ethical wall enforcement through deep integration with Intapp's conflicts and new business intake platform, ensuring AI-assisted workflows respect professional responsibility requirements.
Automatically screening document review outputs against Intapp ethical walls before surfacing results to attorneys, preventing privileged information from one client matter from leaking into work for a competing client.
Harvey's 2026 integration with Intapp — the dominant platform for conflicts checking and new business intake at large law firms — embeds real-time privilege protection directly into AI workflows. When an attorney queries Harvey, the system checks against Intapp's ethical wall and conflicts data to ensure that privileged information from one client matter is not surfaced in work for a competing client. This addresses one of the legal profession's most critical concerns about AI adoption: the risk of inadvertent privilege breaches or conflicts violations when AI processes data across multiple client matters.
Harvey employs enterprise-grade security including SOC 2 Type II and ISO 27001 certifications, GDPR compliance, end-to-end encryption (AES-256 at rest, TLS 1.2+ in transit), enterprise SSO via Okta and SAML providers, role-based access controls, comprehensive audit logging, and configurable data retention policies. Critically, Harvey contractually guarantees that no client data is used to train or improve its AI models — a non-negotiable requirement for law firms handling privileged information. The platform is hosted on Microsoft Azure infrastructure and undergoes regular penetration testing and security audits.
Harvey's capabilities are strongest in corporate and M&A work (contract review, due diligence, drafting), litigation (legal research, brief drafting, document review, e-discovery), and regulatory compliance (monitoring and analysis). The platform also delivers solid results for real estate lease review, employment policy analysis, and tax advisory work through its PwC partnership. More specialized areas like patent prosecution and immigration law see more limited benefit, as these require highly domain-specific knowledge that general legal AI models handle less effectively. Harvey is most effective when deployed for practice areas involving high-volume document analysis and established legal frameworks.
Harvey delivers optimal value for large law firms (AmLaw 200 and above), Big Four advisory firms, and corporate legal departments that handle high volumes of contracts, litigation matters, or regulatory compliance requirements. Firms with active M&A practices, large-scale litigation portfolios, or complex regulatory obligations see the fastest ROI through reduced associate hours and accelerated matter throughput. Mid-sized firms can benefit if they handle enterprise-level transaction volumes, but the $1,000+/lawyer/month price point requires sufficient deal flow to justify the investment. Solo practitioners and small firms are better served by more accessible alternatives like Spellbook or CoCounsel.
Harvey uses an enterprise subscription model with annual contracts required. Pricing starts at approximately $1,000 to $1,200 per lawyer per month, negotiated based on firm size, number of seats, and deployment scope. Enterprise agreements typically include platform access, implementation support (SSO configuration, DMS integration, custom workflows), comprehensive user training, dedicated customer success management, and ongoing technical support. Volume discounts are available for firm-wide deployments. There is no free tier, trial, or self-serve option — prospective customers must engage Harvey's sales team for a demo, followed by a structured pilot program before committing to a full deployment.
Now that you know how to use Harvey, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful enterprise agents tool in minutes.
Tutorial updated March 2026