Freshfields Evaluated Spinoff of Internal AI Unit

The law firm is assessing whether to separate its internal AI assets to unlock value in a maturing legal technology market.

Updated on Oct. 14, 2026 in Artificial Intelligence

Freshfields Evaluated Spinoff of Internal AI Unit

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Freshfields Bruckhaus Deringer is currently evaluating a potential spinoff of its internal artificial intelligence development unit. The discussions remain at an early stage, with no final decision made regarding an organizational change.

Why it matters

Law firm partners aim to separate their proprietary AI assets from the parent organization to avoid diluting value and to capitalize on investor appetite for legal-tech. The shift highlights a broader trend of firms seeking to monetize internal research as specialized legal AI valuations rise.

The firm's AI unit currently supports workflows including contract review, regulatory monitoring, and first-pass discovery. These tools compete in a space where Anthropic has deployed 12 legal-specific connectors and OpenAI recently established a foundation for law firms.

The players

Freshfields Bruckhaus Deringer

A global law firm developing proprietary artificial intelligence agents for internal contract review and regulatory monitoring.

Harvey

A legal-focused AI firm with a valuation of $15.5 billion that serves as a performance benchmark for the sector.

Legora

A legal-focused AI firm valued at $5.6 billion in the current market.

OpenAI

An AI research and development company that launched a dedicated foundation for law firms in September 2026.

Anthropic

An AI safety and research company that added specialized legal tools and connectors to its Claude platform in May 2026.

The details

Freshfields creates AI agents designed to automate repetitive legal tasks such as parsing contract language and tracking shifting regulatory requirements. The firm's internal unit focuses on training these systems to perform initial evidence gathering, or first-pass discovery, before human lawyers refine the results. This approach requires proprietary data sets to achieve accuracy in nuanced legal contexts, a barrier that remains a core technical challenge for externalizing these models to broader business users.

Timeline

  1. October 2025: Legal technology startup funding surpassed $2.4 billion.

  2. May 2026: Anthropic added legal industry tools to the Claude platform.

  3. August 2026: A marked shift occurred in the pace of AI deployment within legal departments.

  4. September 2026: OpenAI launched an AI foundation dedicated to law firms and technology companies.

  5. October 2026: Freshfields executives held initial discussions regarding a potential AI unit spinoff.

The Tech Race

The move follows the valuation pattern set by Harvey, demonstrating how traditional law firms are increasingly treating internal software units as independent, scalable assets. It represents a shift from deploying AI as a utility to treating it as a venture-grade product.

Law firms and corporate legal departments can expect more standalone AI products to emerge as incumbents shed internal units to compete with pure-play startups. Users should watch for whether these tools can maintain accuracy when sold to firms that lack the original developer's proprietary data.

The takeaway

The potential spinoff marks a shift in how law firms account for their internal research and development costs. Watch for future organizational updates from the firm to confirm if this asset is moved to a separate commercial entity.

Further reading

For more on how specialized models are shaping professional services, see our Artificial Intelligence coverage.

Source note: This article includes information reported by PYMNTS.

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