If you run a business or are getting a startup off the ground, chances are you've already been pitched an AI tool that promises to draft, read, summarise, or "review" your contracts in seconds. It's a compelling idea - faster turnaround, lower cost, no waiting on a lawyer's calendar. But before you hand over your next supplier agreement or shareholder deal to an algorithm, it's worth understanding exactly what these tools are good at, and where they still fall short.
The Reality Behind the Hype
Much of the excitement around legal AI tools for contract analysis revolves around summaries, risk flags and clause extraction. Yet the people who actually rely on these tools day to day tend to be far more cautious than the marketing suggests. Legal work is not simply reading a document; it's interpreting context and understanding consequences, and even the most capable AI models can still miss small but meaningful details or misread nuance. This means a contract still needs to be read properly by someone who understands the deal, the parties, and the stakes involved.
It also matters what "contract review" is actually being asked to do. The term itself covers a wide range of tasks, checking for missing clauses, conducting full due diligence, or responding to a negotiation markup, and each demands a different depth of scrutiny. An AI tool built to summarise a document is not necessarily equipped to catch a problematic indemnity clause buried on page 12, or to judge whether a termination clause actually protects your interests.
This isn't to say AI has no place in legal work. According to the Thomson Reuters Institute's 2026 AI in Professional Services Report,[1] AI adoption has grown substantially: 41% of law firms and 47% of corporate legal departments now report using generative AI, up sharply from the year before. Document review, legal research, and contract analysis are the most common use cases, and AI tools have the potential to save legal professionals close to 240 hours a year by speeding up repetitive tasks like drafting standard contracts or reviewing precedent documents. The value is real; it's just concentrated in a particular kind of work.
What Business Owners Should Look For Before Using AI on a Contract
Given this mixed picture, business owners considering AI for contract creation or review should keep a few basics in mind:
1. Don't treat AI output as final. Even where AI flags a risk or drafts a clause, that output should be treated as a starting point, not a conclusion. The technology is prone to missing details or misjudging context, so any AI-assisted draft or summary still needs a proper human read-through before it's relied on.
2. Check whether the tool is grounded in reliable sources. Professionals surveyed for Thomson Reuters' 2026 Future of Professionals Report were clear about their baseline expectations of AI tools: 96% want safeguards for confidential data, 94% want outputs grounded in authoritative content, and 90% want reasoning that can be explained and defended.[2] These are useful questions to put to any vendor pitching an AI contract tool: where does its knowledge come from, and can it explain why it flagged (or didn't flag) something?
3. Be clear on what you actually need done. Before adopting any tool, business owners should define whether they need a due diligence check, a clause-compliance check, or help responding to a counterparty's markup. Using the wrong kind of tool for the task at hand is a common and avoidable mistake.
4. Lean on AI for the operational grind, not the judgment calls. AI is well suited to tasks that are procedural rather than substantive: tracking down the latest signed version of an agreement, checking who still needs to approve something, updating a matter's status, or pulling deal data into a template. These tasks consume enormous amounts of time but don't require legal judgment, making them a low-risk, high-value place to use AI.
5. Be alert to data security and confidentiality. Contracts often contain sensitive commercial terms: pricing, ownership structures, personal data. Data security remains a live concern for legal professionals, even though doubts about output quality are cited more often as a reason for holding back. Either way, business owners should ask vendors directly how their data is stored, who can access it, and whether it's used to train other models. This matters most with general-purpose consumer AI tools, where data handling terms vary widely and the risks of leakage and hallucination are hardest to control.
Look For Tools That Build In Tiered Human Oversight, Not Just Automation
Singapore's Model AI Governance Framework for Agentic AI, launched by IMDA in January 2026 and now at Version 1.5, published 20 May 2026 and revised on 5 June 2026, offers a useful benchmark here, even in the legal context.[3] Compliance with it is voluntary, but organisations remain accountable for what their AI agents do. The framework's case studies show organisations assigning different levels of autonomy depending on how severe and reversible an action is: low-risk, easily reversible tasks can be automated, while higher-stakes actions require human approval or are kept off-limits to the AI entirely. A contract-related AI tool is no different: it's reasonable to let AI handle low-stakes, reversible tasks like drafting a routine template or tracking down a signed version of a document, but anything with real legal or financial consequence, such as agreeing to a clause, finalising a negotiation position or modifying key terms, should require a human sign-off before it takes effect. Business owners evaluating an AI contract tool should ask whether it draws this kind of line itself, or whether it treats every action with the same level of autonomy regardless of risk.
Why and When You'll Still Need a Lawyer
Even with all this technology available, the case for sound legal advice hasn't disappeared - if anything, it has become more important to get right.
Legal professionals themselves draw firm boundaries around where AI should not go. In Thomson Reuters' Future of Professionals research, 96% of legal professionals believe it would be a step too far to let AI represent clients in court, and 83% consider it inappropriate for AI to provide legal advice directly.[4] These aren't abstract concerns - they reflect a broader reality that contracts require interpretation of context, an understanding of consequences, and judgment that current tools cannot reliably replicate.
Negotiating and reviewing a contract properly involves more than spotting clauses. It requires reading a counterparty's intentions, anticipating disputes before they arise, and weighing trade-offs that go well beyond flagging a risky term. These are skills built on experience with real deals and real disputes - precisely the kind of judgment that a lawyer brings and an AI tool, however well-trained, does not.
There's also a trust dimension worth noting. AI is best used in a verifiable lane - answering narrow, checkable questions like whether the latest executed document has been located, who hasn't yet approved something, or whether a mandatory clause was included, rather than being trusted with the substantive legal judgment behind a deal.
Finally, the direction of the legal industry itself points toward AI and lawyers working together rather than one replacing the other. Agentic AI tools are increasingly used to complete parts of a workflow by breaking tasks into steps and integrating across platforms, but human oversight remains central. The right kind of AI solution escalates important decisions to a human and keeps its work easy to audit and revise - it supports the lawyer's judgment rather than substituting for it.
The Bottom Line
AI can meaningfully speed up the operational side of contract work: chasing signatures, tracking versions, filling in templates, checking mandatory clauses are present. What it cannot yet do reliably is the actual legal thinking: interpreting context, weighing consequences, and negotiating terms that protect your business. For business owners and startup founders, the smartest approach is to use AI for the busywork, but bring in a lawyer for the judgment calls that genuinely decide whether a contract works in your favour.
This article is provided for general information only and does not constitute legal advice. You should seek advice on your specific circumstances before acting on anything set out above.
How AI is reshaping the legal profession, https://legal.thomsonreuters.com/blog/how-ai-is-transforming-the-legal-profession/ ↑
Future of Professionals Report 2026, Thomson Reuters, https://www.thomsonreuters.com/en/institute/future-of-professionals-2026/report ↑
Model AI Governance Framework for Agentic AI (Version 1.5), Infocomm Media Development Authority, https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf ↑
How AI is reshaping the legal profession, https://legal.thomsonreuters.com/blog/how-ai-is-transforming-the-legal-profession/ ↑