Harvey AI is an enterprise-grade generative AI platform for legal work. Built using OpenAI’s large language model (LLM) and further trained on legal-specific data, Harvey enables lawyers to automate and accelerate various legal tasks. Its core capabilities include legal research, contract analysis, drafting legal documents, and summarizing complex information.
The platform operates within a secure environment, meeting enterprise compliance standards and allowing legal teams to use generative AI with confidence. Harvey is not a general-purpose AI tool; it is built specifically for lawyers, law firms, and corporate legal departments.
By transforming the way legal work is done, Harvey enhances productivity and allows legal professionals to focus on higher-level strategic thinking.
Features
Harvey AI includes a robust set of features designed to support legal professionals in their daily work:
Legal Document Drafting: Users can generate first drafts of memos, contracts, and legal correspondence with high accuracy and context sensitivity.
Case Law Research: The platform assists in locating relevant precedents and analyzing case law, saving hours of manual research time.
Contract Analysis: Harvey reviews and summarizes contract terms, identifies risks, and provides redlines or revision suggestions.
Compliance Checks: Legal teams can run compliance checks against jurisdiction-specific regulations and policies using the AI’s trained knowledge.
Multi-Jurisdiction Support: Harvey understands and adapts to laws from different legal systems, supporting international firms and cross-border matters.
Summarization: It condenses long legal documents, briefs, or court rulings into digestible summaries without losing key context.
Internal Knowledge Integration: The platform can be connected to a firm’s proprietary legal data or past work to provide personalized and context-aware responses.
Secure Infrastructure: Harvey offers enterprise-level security, encryption, and data privacy to ensure compliance with legal standards.
Audit and Traceability: All AI-generated outputs are documented, enabling full audit trails and transparent decision-making processes.
How It Works
Harvey AI works by integrating with a firm’s legal workflow and using large language models to assist with tasks that typically require manual effort. It begins with an onboarding process where the AI is configured to align with the firm’s jurisdictional focus, practice areas, and internal policies.
Once deployed, legal professionals can interact with Harvey using natural language. For example, they can prompt the AI to draft a memorandum on a specific issue, summarize a set of cases, or analyze a client’s contract.
Harvey processes the input, applies its legal knowledge, and produces a response that is tailored to the user’s needs. Over time, it learns from feedback and improves its outputs, becoming more aligned with the firm’s preferred language and standards.
The platform can be integrated with internal document management systems and offers both web-based and secure API access for custom workflows.
Use Cases
Harvey AI is designed for law firms, corporate legal departments, and legal service providers across multiple domains. Common use cases include:
Litigation Support: Lawyers use Harvey to draft pleadings, summarize case law, and prepare briefs faster than traditional methods.
Transactional Law: For corporate or M&A work, Harvey assists in contract review, redlining, and regulatory analysis.
In-House Legal Teams: Corporate legal departments use Harvey to streamline internal legal queries, compliance monitoring, and document review.
Regulatory and Compliance: Legal teams can automate monitoring of changes in legislation and assess compliance risks more efficiently.
Legal Research: Junior associates or legal researchers use Harvey to speed up case law retrieval, jurisdiction analysis, and background investigations.
Client Advisory: Lawyers use Harvey to produce client-ready summaries or initial opinions, saving time and standardizing output.
Cross-Border Transactions: Harvey’s multi-jurisdiction support allows international law firms to handle deals spanning multiple legal systems with greater accuracy.
Pricing
Harvey AI follows an enterprise licensing model and does not publicly list specific pricing tiers on its website. Pricing is customized based on factors such as firm size, user count, integration requirements, and use case complexity.
To obtain accurate pricing, interested legal teams must contact Harvey’s sales team directly to schedule a demo and receive a tailored proposal.
Harvey is currently used by major firms such as Allen & Overy and PwC, which indicates that the platform is targeted at mid-sized to large firms or legal departments with enterprise needs.
For pricing inquiries and demos, visit: https://www.harvey.ai
Strengths
Legal-Specific AI: Harvey is uniquely built for legal workflows, making it more accurate and relevant than general-purpose AI tools.
High-Quality Drafting: The platform produces structured, professional-grade legal drafts that require less editing than typical AI outputs.
Secure Infrastructure: Harvey meets enterprise data security standards, making it a trusted tool in regulated environments.
Customizable Integration: The platform can be tailored to a firm’s own knowledge base, allowing for context-aware and proprietary responses.
Scalable for Large Teams: Harvey is built to support enterprise deployment, with role-based access and team collaboration features.
Reduced Legal Costs: By automating repetitive tasks, Harvey frees up lawyers’ time and reduces billable hours for clients.
Multi-Jurisdiction Support: It handles legal systems across borders, making it ideal for global firms.
Drawbacks
Enterprise-Only Access: Harvey is not currently available to solo practitioners or small firms, which limits accessibility for a broader legal audience.
Lack of Public Pricing: The absence of transparent pricing may delay decision-making for interested users.
No Public API Documentation: Detailed integration documentation is not publicly available, which may concern technical teams planning integrations.
Requires Legal Oversight: Despite its accuracy, Harvey’s outputs still require human review and validation due to the high-stakes nature of legal work.
Limited Review Sources: As a newer platform, there are relatively few independent customer reviews on third-party software review sites.
Comparison with Other Tools
Harvey AI is often compared to other AI tools being used in legal contexts, such as:
Casetext (CoCounsel): Casetext’s AI platform focuses on legal research, document review, and deposition preparation. It was acquired by Thomson Reuters and integrates with Westlaw. While CoCounsel is powerful, Harvey provides broader enterprise integration and customization.
Spellbook AI: Designed for contract drafting and review, Spellbook is more focused on transactional work, whereas Harvey covers both litigation and advisory practices.
ChatGPT with Legal Plugins: Some firms use OpenAI’s GPT-4 with legal plugins, but this approach lacks the security, control, and legal-specific training that Harvey offers.
Luminance: An AI document review tool that’s more specialized in M&A due diligence. Luminance focuses on contracts, while Harvey offers a wider legal toolkit.
Overall, Harvey’s deep integration into legal workflows and its ability to adapt to firm-specific needs make it a more comprehensive solution for large legal teams.
Customer Reviews and Testimonials
While Harvey AI does not display customer reviews on its public site, it has received significant endorsements from top-tier law firms. Allen & Overy, one of the world’s largest law firms, publicly partnered with Harvey to integrate AI into its operations. PwC has also adopted Harvey to support legal and tax services.
Media coverage includes features in:
Reuters, highlighting Harvey’s role in transforming legal workflows
The Financial Times, noting how elite firms are adopting generative AI
Bloomberg Law, discussing Harvey’s funding and rapid adoption
Clients praise the platform for reducing administrative workload, improving speed, and maintaining legal accuracy.
As Harvey expands, more testimonials and reviews are expected to surface on platforms like G2 and Capterra.
Conclusion
Harvey AI is redefining the future of legal work by bringing generative AI into the core of legal operations. Its legal-specific training, secure infrastructure, and enterprise-level customization make it one of the most promising AI tools in the legal industry today.
While access is currently limited to enterprise clients, the impact it has already had on global law firms demonstrates its value. As the legal sector continues to embrace AI, Harvey stands out as a leader in making legal services more efficient, scalable, and intelligent.
For legal teams looking to modernize their workflow and stay competitive, Harvey AI offers a forward-looking solution that combines the power of generative AI with the precision of legal expertise.
