A startup founder needs an NDA, a COO, a service agreement for a new vendor and a CFO, tighter control over liability and payment terms, and they want them fast. However, contracts require meticulous attention to detail and can often slow things down.
This is where AI legal tools can help. They can make contracts faster to prepare and easier to review. However, AI tools vary in utility, with template-like apps posing more risks than advantages.
Why Business Contracts Need More Than a Template
Template-type AI legal tools are primarily useful when it comes to form and style. After all, contracts generally have standard sections, such as scope of work, fees, payment dates, confidentiality, intellectual property, liability, termination, and governing law.
However, they do not generate directly usable output because they are missing specific context. They do not know how risky the client relationship is, whether the work involves sensitive data, or whether the contract needs stronger protection around ownership, delays, scope creep, or unpaid invoices.
This is how a small business using an AI contract template, changing the names of the parties here and there and revising the specific terms, can get in legal trouble. The contract looks professional and has enough legal terms to be impressive, but beneath its complex language and shiny form often hides perilous legal loopholes.
What a Context-Aware Legal AI Does Differently
A legal AI built specifically for contract drafting provides a structured contract-drafting workflow. More importantly, it has built-in guardrails to minimize risks, including advising handover to a lawyer for essential and strategic human oversight.
An AI built specifically for context-aware contract drafting interviews the user. It asks specific questions that enable it to draft contracts specific to the user’s situation and requirements. More importantly, it calls out risks and urges the user to get a lawyer’s opinion on them.
Using AI Legal Tools Correctly
AI legal tools are not a replacement for lawyers. They’re designed to assist with the routine, repetitive, and administrative tasks that take so much of a lawyer’s time. Such tasks include preparatory analysis, word choice, and even formatting and styling.
Therefore, the AI legal tool can take charge of information gathering (from the client), deciding on the type of contract, covering all the standard contract-drafting bases, deciding on the clauses that must be included, and laying out the specifics of the instrument in the proper form.
Then, a lawyer must make the strategic decisions and necessary judgments. Is the interest rate compliant, correct, and not prejudicial to the client’s interests? Is there a way to improve the confidentiality clause to strengthen safeguards? These are the questions the lawyer addresses, and these are the matters in which they show the greatest value.
Therefore, AI contract-drafting tools exist simply to make contract drafting faster and more structured. They’re particularly useful for small companies that want a preliminary agreement they can bring to a lawyer for review and assessment.
Executives and entrepreneurs save time by generating use-case-specific contracts quickly. They cut their costs, too, because they don’t have to pay the lawyer for contract drafting and can limit their legal expenses to the actual legal review.
On a lawyer’s part, AI legal tools cut down the amount of time they must spend on tedious administrative work, allowing them to spend more of their time on strategic advisory duties and making judgment calls. For this high-value work, they can charge a premium, earning more per hour than if they had to do the drafting themselves.
The Need for a Legal AI Agent Instead of General AI for Contract Drafting
General large language models (LLMs) like ChatGPT can generate polished contracts that use convincing legal lingo, but they are not suited to serious contract work. They get their information from general internet knowledge. As such, they are prone to creating contracts that draw from a mish-mash of sources and jurisdictions.
For instance, it may write a clause that satisfies Florida’s state laws, which would be okay if the contract is for a business in Florida, but could spell trouble for a business under New York’s jurisdiction.
This is a real concern for contracts where every word used could carry legal weight and lead to real-world consequences.
A weak indemnity clause can shift too much risk onto the business. A vague service description can lead to disputes about deliverables. A missing confidentiality term can expose sensitive information. A poor termination clause can trap a company in a bad arrangement.
The core issue is general AI’s universal and generic “nature.” It is not the same as an agentic legal AI built around legal workflows, document structure, jurisdiction awareness, and review standards.
AI-Assisted Contract Drafting
Business executives and entrepreneurs can certainly seek contract drafting help from AI to generate their general business contracts and other legally binding agreements. However, they must make sure to use jurisdiction- and context-aware legal AI rather than a general LLM. Furthermore, they must always let a lawyer review their AI-generated legal documents.
For their part, lawyers need to stop thinking about AI as a threat. Legal work, including contracts, will always require accountability. For that reason alone, lawyers will always be necessary, as AI can not be held accountable for any contract it drafted.
Instead, lawyers should use AI as a tool to minimize the drudgery of their profession, thereby freeing up their time for more high-value consulting work. Consequently, they can raise their hourly fees and earn more by doing more of the strategic work they trained for.
Top comments (0)