Bitfury provides blockchain technology, Bitcoin mining hardware, software tools, and blockchain-as-a-service offerings. Its data centers run BlockBox AC mining rigs to secure Bitcoin transactions, generating revenue from hardware sales and related services. Software like Crystal helps financial institutions and law enforcement track blockchain activity, while Exonum Enterprise offers a BaaS platform for governments and businesses. The company also participates in AI through the Embedded Vision Alliance and aims to enable secure, transparent, and scalable use of blockchain and AI for financial, governmental, and enterprise clients, earning revenue from hardware, software, and services.
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Industries
Company Size
51-200
Company Stage
Series C
Total Funding
$280.2M
Headquarters
Amsterdam, Netherlands
Founded
2011
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Total Funding
$280.2M
Above
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Funded Over
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One Problem, Different Paths: how Legal teams expand capacity. Bitfury, ICL Group, and SUSE take three distinct approaches to expanding their legal teams' capacity with Harvey, increasing the amount of work they handle internally and freeing lawyers to focus on higher-value decisions. by Harvey Team - Nov 4, 2026 An in-house legal department's capacity depends on more than the number of people on the team. It also depends on which work stays internal, where outside counsel contributes the most value, and how effectively lawyers can apply their judgment. One Problem, Different Paths looks at the different tactics legal organizations use to address a shared challenge with Harvey. In this edition, Bitfury, ICL Group, and SUSE offer three distinct approaches to expanding the capacity of an in-house legal team. Bitfury: redefine the role of outside counsel. Bitfury's shift from a technology provider to an investment firm created a new challenge for its legal department. A team of three lawyers supports global operations across multiple jurisdictions while keeping pace with an active deal pipeline. Before Harvey, routine drafting, review, and due diligence placed steady pressure on the team, often leading Bitfury to engage outside counsel for work its lawyers had the expertise, but not always the capacity, to handle internally. Instead of involving a full external team from the outset, the legal team now uses Harvey to prepare transaction documents internally and bring them roughly 80% of the way to a final draft. External partners then review the specific deal rather than building the work product from the ground up, concentrating outside-counsel spend on the work where it adds the most value. The team has extended this approach across its investment work. Bitfury uses Vault to analyze data room materials and identify key risks, obligations, and red flags during due diligence. Lawyers also use Harvey to develop an initial understanding of foreign regulatory requirements, reducing the need to engage local counsel whenever a matter enters a new jurisdiction. "We expect AI tools to play an increasingly central role in how legal teams operate - enabling small, agile teams like ours to support complex, global operations without the traditional dependency on outside counsel." Grigol Abashidze Head of Legal at Bitfury Group With more drafting, due diligence, and research handled internally, Bitfury has reduced its reliance on outside counsel by more than 50%. Each lawyer saves at least 10 hours per week, and transactions move as much as 10 times faster than under the team's previous workflows. Without Harvey, Bitfury estimates that it would need at least three additional full-time lawyers, alongside significantly higher outside-counsel spending, to manage the same workload. Principles Behind the Path: * Use AI to develop work internally before outside counsel gets involved * Concentrate external support on targeted review rather than first-draft work * Redirect lawyer time toward the strategy and negotiation behind the matter ICL Group: establish cross-functional ownership before scaling. ICL Group, a global specialty minerals company, introduced Harvey across a legal department spanning five regions that supports a highly regulated, diversified business. With no established playbook for adopting generative AI, the team first needed to determine how Legal, Data Privacy, IT, IT Security, and Procurement would contribute to the rollout. Senior Legal Counsel Mehmet Ocak coordinated that work over several months, creating the internal structure needed to use Harvey across sensitive, multi-jurisdictional matters. That foundation enabled ICL to bring complex work in-house. During a cross-border restructuring, the legal team used Harvey to review corporate documents for more than eight subsidiaries, draft agreements and board resolutions across jurisdictions, and analyze hundreds of pages of pension materials. ICL completed the matter internally in five weeks, engaging external counsel only for the most complex pension questions and saving an estimated £90,000 to £165,000. ICL has since applied Harvey to a wider range of work. The team analyzed more than 1,000 legacy contracts to extract missing metadata and improve its contract database. Compliance has started using a Harvey Agent for repeatable risk assessments, establishing a model that the department plans to extend into areas including Data Privacy, Sales, and Procurement. "The most critical investment is not in technology, but in people. We're not just using :Harvey: as a productivity tool - we're using it as a platform for organizational transformation." Mehmet Ocak Senior Legal Counsel at ICL Group ICL estimates that Harvey has made each lawyer 30% to 40% more efficient, giving its four-to-five-person core team capacity equivalent to an additional full-time employee. The team has also reduced its reliance on outside counsel by 20%. Principles Behind the Path: * Bring relevant stakeholders into the rollout before expanding usage * Demonstrate value through high-impact work with measurable results * Convert successful use cases into repeatable workflows that can scale across teams SUSE: use adoption data to improve workflows. SUSE, a global provider of enterprise open-source software, has a lean legal team supporting the business across EMEA, the Americas, and APAC. As the company expanded, the team needed to increase its capacity without adding headcount and bring complex work such as M&A diligence, regulatory matters, and disputes back in-house. SUSE treated adoption as something to measure and continuously improve. Chief Legal Officer Andy McDonald sponsored the business case for AI, while Legal Operations tracked usage and ROI and four regional Power Users provided local guidance. When a quarterly review of prompt logs revealed variations in prompting and output quality, the team introduced standardized templates and Harvey Agents. "As AI absorbs the routine, we reinvest that capacity into judgment and nuance - the work only our lawyers can do." Head of Legal Operations at SUSE During a recent acquisition, SUSE used Harvey to conduct the entire due diligence process in-house in one month. Using Vault, the legal team analyzed the target's data room and identified 12 high-priority contracts for deeper review of termination rights, liability, indemnity, and limitations on open-sourcing. Harvey completed the first pass and flagged potential risks, which the team verified against the cited sources. This reduced manual review time by 73% and saved up to £80,000 in external fees on a single deal. Across its broader use of Harvey, SUSE's legal team saved nearly 1,500 hours over four months, and 70% of users report redirecting that time toward strategic work they previously lacked the capacity to address. The team also delivers legal advice to the wider business 32% faster, giving colleagues earlier guidance as decisions move forward. Principles Behind the Path: * Combine central program ownership with regional champions * Track usage patterns and output quality to identify ways to improve adoption * Turn effective practices into standardized templates and Agents Different Paths to greater capacity. Expanding capacity requires deliberate decisions about how work should move: where Harvey can support the process, when lawyer judgment should enter, when outside expertise is warranted, and who needs to be involved as adoption grows. Clear roles and handoffs make efficiency gains easier to repeat across matters and workflows. For in-house leaders, a practical starting point is the constraint limiting the team today. Once that constraint is clear, they can choose an approach that fits their work, resources, and priorities. To learn more about how AI is changing the capacity, economics, and strategic role of legal departments, read The New Economics of In-House Legal.
Gonka AI Network adds 6,000 GPUs, attracting $50M from Bitfury. The network, founded by the Liberman siblings, offers a decentralized AI infrastructure.
Gonka receives $50M investment from Bitfury. Gonka, a remote provider of a decentralized network for high-efficiency AI compute, received a $50M investment from Bitfury. The company intends to use the funds to expand operations and its development efforts. Gonka is advancing a decentralized network for high-efficiency AI computation, designed to optimize the use of global GPU power for meaningful AI workloads. By eliminating centralized gatekeepers, it provides builders and researchers with permissionless access to computation resources while rewarding participants through its native coin, GNK. Launched in August 2025, the network has grown rapidly over three months, already achieving computational resources analogous to more than 6000 NVIDIA H100 GPUs, which is provided by a distributed network of hosts for the AI inference tasks. It was originally incubated by Product Science, the U.S.-based software company founded by the Liberman siblings - Anna, David, Daniil, and Maria - and backed by Coatue Management, Slow Ventures, and K5.
Bitfury Group has invested $12M in Gonka.ai, acquiring 20M GNK tokens at $0.6 each. This marks Bitfury's first public investment since launching its $1B Ethical AI Fund, indicating a shift towards decentralized AI infrastructure. Gonka.ai, founded by the Lieberman brothers, aims to create a blockchain-based GPU computing marketplace. Previously, Gonka raised $18M in 2023 from investors like Coatue Management and Slow Ventures.
Bitfury has announced a $200 million investment program focused on next-generation technologies. This initiative aims to drive responsible innovation in areas such as AI, quantum computing, sustainable energy, decentralized value architectures, governance systems, ethical education, and well-being technologies. The program reflects Bitfury's strategic shift from Bitcoin mining to fostering technologies that benefit humanity while minimizing negative impacts.
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Industries
Company Size
51-200
Company Stage
Series C
Total Funding
$280.2M
Headquarters
Amsterdam, Netherlands
Founded
2011
Find jobs on Simplify and start your career today
We update Bitfury's jobs every few hours, so check again soon!Browse all jobs