Everlaw vs Harvey: pricing, features and which to choose

Everlaw is a cloud eDiscovery and litigation platform founded in 2010 by AJ Shankar after consulting work exposed recurring discovery problems. The company is based in Oakland, California, and serves law firms, corporate legal departments, government agencies, journalists, and nonprofits. Everlaw says it serves more than 1,000 customers, including Fortune 100 counsel, 93 of the Am Law 200, federal agencies, and all 50 state attorneys general. Reuters reported that the company raised $202 million in a 2021 Series D, bringing total funding to $305 million and its valuation above $2 billion. The company began as EasyESI and adopted the Everlaw name in 2014. This background helps explain its emphasis on replacing fragmented discovery systems with a shared workspace for review, analysis, preparation, and presentation.

A typical workflow starts with data imported from Microsoft 365, Google Workspace, Zoom, Slack, iManage, or native uploads. Everlaw processes those files into searchable databases and projects, where teams can search, cluster, review, code, redact, translate, and produce material. Legal holds, timelines, communication visualization, fact management, and Storybuilder connect document review with case preparation. Predictive coding and Coding Suggestions reduce repetitive classification. Deposition Analyzer and transcript tools support examination preparation. The API handles uploads, search, reporting, administration, billing-size retrieval, and document-text replacement. Everlaw includes onboarding, training, and support with its service. Matter teams can therefore move from collection through production without exporting every stage into separate review and presentation products. Because processing and review remain in one hosted environment, teams can reduce handoffs, but migration planning still matters when inherited collections use unusual formats or inconsistent metadata.

Everlaw's strengths are collaborative review, narrative case preparation, public-sector credentials, and AI that connects answers to source documents. Its peak-volume pricing can make costs harder to forecast, and Deep Dive requests can pass through subprocessors. DISCO is a close alternative with Cecilia, deposition workflows, timelines, and per-gigabyte pricing. RelativityOne offers a larger partner network and more deployment choice, while Logikcull is easier to scope for smaller matters. Everlaw does not offer customer self-hosting, and buyers seeking a public commercial calculator may prefer a more transparent vendor. Everlaw is most compelling when discovery and case storytelling belong to the same team, rather than when a buyer primarily needs a narrowly scoped drafting or collection utility. Legal teams wanting cloud-native review, investigation, and courtroom storytelling should pick Everlaw.

Harvey is an enterprise legal software company founded in 2022 by Winston Weinberg and Gabe Pereyra, according to TechCrunch’s account of its origin. Its March 2026 announcement said more than 100,000 lawyers across 1,300 organizations used Harvey, while the homepage later reported 3,500-plus legal organizations, 200,000-plus professionals, and use in more than 85 countries. In September 2026, Harvey announced $550 million in funding at a $15.5 billion valuation. The company’s March announcement said it had raised more than $1 billion in total funding. Harvey remains an active legal software company. Harvey targets law firms and corporate legal departments through an enterprise sales process. Its products combine legal assistance with shared document workspaces, rather than offering a consumer-facing legal-advice subscription.

Harvey organizes work across agents, Spaces, Vault, contract intelligence, research, and Command Center. A typical engagement starts with a user uploading documents or working in a connected workspace, then asking Harvey to analyze, compare, summarize, draft, or extract information. Vault is designed for querying large document collections, while agents route tasks across complex legal work. Shared Spaces bring firms, clients, and co-counsel into one workspace with governance and ethical-wall controls. Command Center gives administrators visibility into usage across teams, practice groups, and offices. Teams can keep reference documents in Vault and use workflows to repeat a structured task. The platform also offers a Word add-in, reducing the need to move contract drafting entirely into a separate interface.

The company's security page says customer data is not used to train models. Buyers still need to review retention, access controls, and deployment terms against their own confidentiality obligations before putting client documents into production. Harvey’s clearest advantages are its breadth of legal workspaces, model selection, custom agents, document collections, and administrative controls. Its main tradeoffs are opaque pricing, enterprise deployment requirements, reliance on external model providers, and the need for lawyers to check generated work. Clio Duo, Spellbook, LexisNexis Protégé, CoCounsel, Luminance, and Ironclad AI overlap with parts of Harvey’s legal-assistance category, although their product scopes differ. Harvey is the stronger fit for larger firms and in-house departments that need shared legal workspaces, custom agents, regional processing, and governance. Smaller teams should first confirm pricing, implementation effort, and required controls.