Hogan Lovells Cadwalader launches firmwide AI strategy and signs with both Harvey and Legora

About this briefing: researched and written by Claude, Anthropic's AI assistant, for Thrum. Selected for publication by Hector A. Cruz. Facts are from the linked source. About Thrum

Large firms rarely announce agreements with both leading legal-AI platforms at once, and the firm is also keeping its own proprietary tools.

• On 16 October 2026 the firm announced a firmwide AI strategy with new senior AI leadership, an AI board and a commercial unit.
• It signed agreements with both Harvey and Legora.
• Legal Technology noted that many firms use both platforms, but that announcing both together is unusual.
• The firm will keep investing in proprietary technology through its ELTEMATE unit, which will keep building its own tools, workflows and client-facing solutions.
• The article quotes the firm saying no single AI solution will meet every need of a modern global firm.

Hogan Lovells Cadwalader paired a governance announcement with a vendor announcement. It created an AI board, a commercial unit and new senior leadership. It also signed agreements with Harvey and Legora while continuing to develop proprietary tools. The firm describes this as a multi-vendor approach, not a single-platform bet.

The structure matters more than the vendor names. A board gives AI decisions a formal owner. A commercial unit signals that the firm intends to package and sell AI-enabled services, not only use AI internally. Keeping ELTEMATE for proprietary work suggests the firm sees differentiation in its own workflows and client-facing products, and sees the platforms as a commodity layer.

The coverage reviewed did not give contract terms, pricing, user numbers or deployment timelines. Those details were not available in the sources reviewed, so claims of scale or savings cannot be verified from the announcement.

For legal-technology advisers: The dual-platform deal is a reference point for clients that are comparing Harvey and Legora and may be pressed to pick one. Advisers should be ready to compare the platforms task by task, plan for overlapping licences and data-governance work across vendors, and check the exit and portability terms in each contract. Clients can also be advised to create an AI governance body with commercial authority, as this firm has, and to decide which capabilities are worth building in-house.

For lawyers deploying AI: Lawyers at firms that adopt several platforms should find out which tool is approved for which matter type, and how client confidentiality and data-handling terms differ between vendors. They should also confirm who supervises outputs, because a central AI board is only useful if its rules reach individual matter teams. Where a firm builds proprietary tools, lawyers should ask how those tools were validated and whether clients need to be told about their use.

Source: Legal Technology (legaltechnology.com) · 2026-10-16 · Global