Business Corporate & Commercial Corporate and Commercial AI

Corporate and Commercial AI

Corporate and Commercial AI

You may feel excited by the promise of AI, but at the same time, anxious about legal risks, regulations, and costs.

That mix of opportunity and concern is standard. Clients tell us they want speed and savings, but not at the expense of confidentiality, compliance, or reputation. We combine practical legal advice with a human approach, and use technology where it helps, but never lose sight of the personal relationship that sits at the heart of good service.

What Does AI Mean for Your Business?

Corporate and commercial AI covers the use of artificial intelligence across your day‑to‑day corporate and commercial law needs. Typical areas include contract drafting and review, due diligence, procurement and vendor management, data protection, intellectual property, and support for corporate and commercial litigation. It also covers how your business buys, builds, or embeds AI tools, and the legal terms that control ownership, risk, and accountability.

The direction of travel is clear. Official statistics show that in 2023, only 9% of UK firms used AI, with a planned rise to 22% for 2024/25, with higher adoption in larger service businesses. In the legal services sector, market regulators and surveys report a rapid shift at the top end, with three-quarters of the largest law firms utilising AI and many others actively exploring generative tools. A 2024 study of UK legal professionals found 41% already using generative AI for work.

Why clients look at this page

  • You want faster, cleaner contract work without losing control of risk.
  • Your board asks for an AI plan that is safe, lawful, and auditable.
  • You face pressure to cut external spend yet maintain quality.
  • You are unsure how AI affects confidentiality, IP rights, and liability.
  • You need a partner who is friendly and approachable, but tough when it matters.

Practical benefits and real risks

Speed and throughput. AI can help shorten review cycles. Analysts predict that by 2027, half of organisations will support supplier contract negotiations with AI‑enabled contract risk analysis and editing tools. Leaders expect a material uplift in productivity from these tools.

Clarity and governance. A clear operating model matters just as much as technology. UK guidance sets out practical steps to manage AI risks, including fairness, transparency, data minimisation, and DPIAs. The ICO’s AI and Data Protection Risk Toolkit provides a concrete framework you can adapt to your context.

Market reality.

While adoption rises, many teams still spend hours on manual reviews and lack standard playbooks, which slows deals and increases inconsistency.

Legal risk. Poorly drafted AI clauses can leave you exposed to risks related to ownership of outputs, training rights, confidentiality, bias, explainability, audit rights, and remedies. If an AI tool makes a harmful error, you need transparent allocation of responsibility, fit‑for‑purpose warranties, and workable service credits or indemnities. Thoughtful drafting reduces disputes and makes your position easier to defend in corporate and commercial litigation.

Key legal issues we help you address

  • Ownership and use rights. Who owns the inputs, outputs, and fine‑tuned models?
  • Training and data rights. Whether your data may be used for model training, and limits to protect trade secrets and personal data.
  • Confidentiality. How is your information protected when routed through third‑party systems?
  • Audit and assurance. Access to logs, explainability reports, and security attestations.
  • Risk allocation. Warranties on accuracy and fitness, caps, exclusions, and indemnities that work in real life, not just on paper.
  • Termination and transition. Exit rights, data return, and model portability to avoid lock‑in.

How our corporate and commercial lawyers help

Our corporate and commercial lawyers advise start‑ups, high‑growth companies, and mature corporates on corporate and commercial AI across the whole contract and governance cycle.

We keep things simple. We explain the risk, outline your options, and help you choose a route that suits your appetite and timescales.

We design practical AI use policies, approval gates, and playbooks that your teams can follow. This supports adoption while keeping control of data, security, and compliance. UK research links stronger management practices with better follow-through on AI plans, which is why transparent processes are crucial.

Contract drafting and negotiation. We prepare and negotiate AI addenda, master service agreements, statements of work, and data processing terms, focusing on ownership, confidentiality, audit, and remedies.

Frequently asked questions

Building gives more control but demands time, skills, and budget. Buying can be faster and cheaper to start, but you must fix ownership and data rights in the contract. UK data shows that adopters often split between off‑the‑shelf and in‑house routes, so choose the model that fits your goals and controls.

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