ENFORCEMENT of BUSINESS CONTRACTS

Contact our law firm for contractual legal matters at 403-400-4092 / 905-616-8864 or Chris@NeufeldLegal.com

Once a business contract has been negotiated and signed by all the participating parties, the legal work is not necessarily complete. For even with a contract having been drafted and executed, there do arise circumstances that necessitate the enforcement of such legal agreements, and if the other party is not willing or capable of fulfilling their obligations under the contract, it will often become necessary to have a lawyer intercede on your company's behalf to enforce the contractual obligations that the other party had previously agreed to abide by.

Enforcing a contract typically takes on one of two objective goals, either getting the other side to fulfill their stipulated obligations (if one still believes that the other side will subsequently conform to their ongoing obligations following this apparent lapse in their commitment to abide by their contractual requirements) or pursue appropriate recourse for their breach of contract (given that their is a belief that they will not fulfill their contractual obligations now and/or in the future).

With a breach of contract claim not necessarily being as straightforward to realize upon, it oftentimes makes business sense to attempt to seek the enforcement of the contract, whether in its current form or with an appropriate amendment (that better secures the legal position of the non-contravening party). In each of these circumstances, a contract lawyer can be highly beneficial, to not only understanding your company's legal options, but also the downside and vulnerabilities associate with certain courses of action, together with putting together the legal paperwork to allow the enforcement process to have some teeth.

For knowledgeable and experienced legal representation in negotiating, drafting and reviewing business contracts, contact contract lawyer Christopher Neufeld at 403-400-4092 [Alberta], 905-616-8864 [Ontario] or Chris@NeufeldLegal.com.

Force Majeure Clauses in Business Contracts

Dangers of AI-generated Business Contracts

Relying on artificial intelligence (AI) to generate business contracts without the oversight of an experienced lawyer creates a dangerous illusion of competence that can lead to catastrophic financial liability. While AI models can produce text that looks remarkably professional and structurally sound, they lack the ability to understand the specific commercial context, risk levels, and strategic objectives of a unique business relationship. For instance, AI might generate a standard indemnity clause that is technically valid but commercially suicidal for a company operating in a high-risk sector like intellectual property or construction. Without a human expert to identify where these generic provisions fail to align with a company’s insurance coverage or long-term goals, businesses often unknowingly sign away critical protections, leaving them exposed to unlimited damages that could have been easily capped by a knowledgeable lawyer.

Furthermore, the phenomenon of AI Hallucinations (where AI models confidently fabricate non-existent case law, statutes, or legal principles) presents a direct path to litigation and judicial sanctions. Courts in various jurisdictions have already begun penalizing parties and their counsel for submitting documents containing fictitious citations generated by AI tools. If a company relies on an AI-drafted contract that cites a non-existent statute or relies on an overturned precedent, the entire agreement may be rendered unenforceable, or worse, interpreted by a judge as an act of bad faith. This technical instability can far too easily transform a cost-saving measure into a multi-million dollar liability, as the company may find itself unable to enforce its rights in a breach-of-contract dispute while simultaneously facing separate legal challenges regarding the validity of its filings.

The inherent one-size-fits-all nature of AI drafting also creates significant exposure by failing to account for jurisdictional nuances and evolving regulatory frameworks. Laws governing employment, data privacy, and consumer protection change frequently, often outpacing the training data of even the most advanced AI models. A contract that appears robust in a general sense may violate province-specific employment standards legislation or fail to include mandatory regulatory disclosures, triggering government investigations and heavy fines. Because AI cannot perform real-time stress tests on how a judge in the particular jurisdication might interpret an ambiguous term, companies often discover their purportedly airtight contracts are riddled with loopholes only after a dispute has already reached the expensive discovery phase of litigation.

Ultimately, the shift from human-led legal drafting to automated generation shifts the entire burden of liability onto the business owner, who typically lacks the expertise to spot silent failures in the text. Most AI providers include broad disclaimers that their output does not constitute legal advice and that they are not liable for any errors, effectively leaving the company with no recourse if the technology fails to account for the specificity of the business. Failing to draw upon the experience and knowledge of a seasoned contract lawyer, and relying on one's own engagement of AI, can have serious consequences, which lawyers for parties adversely impacted by your company's will look to take full advantage against your company and using your reliance upon AI to your legal and financial detriment.

The Pending Litigation Tidal Wave from Exclusive AI-Generated Business Contracts

The shift toward AI-generated business contracts without human legal oversight is poised to trigger a litigation gold rush centered on the doctrine of ambiguity and the failure of intent. While AI is adept at mimicking the structure of a legal document, it often struggles with the nuanced bespoke clauses required for complex commercial transactions, leading to contradictory terms that a machine cannot logically reconcile. When these internal inconsistencies arise, courts generally apply the rule of contra proferentem, interpreting ambiguities against the party that drafted, or in this case, generated the document. Because the company bypassed a knowledgeable lawyer, the court will almost certainly view the reliance on a non-human entity as a voluntary assumption of risk. Consequently, businesses may find themselves bound by hallucinated obligations or stripped of critical liability protections that an AI failed to properly contextualize within specific statutes and/or particularities of one's business.

Beyond internal drafting errors, substantial litigation will likely emerge from the black box nature of AI training data and its impact on the enforceability of standardized clauses. Many AI models are trained on a patchwork of jurisdictions, meaning a generated contract might inadvertently include a non-compete or indemnity clause that is perfectly legal in New York but void as a matter of public policy in Canada. Without a lawyer to localize the instrument, companies will inadvertently execute contracts that contain unenforceable provisions, leading to protracted legal battles over whether the entire agreement is void or merely severable. Opposing legal counsel will undoubtedly exploit these jurisdictional mismatches, arguing that the lack of human review constitutes a failure of a meeting of the minds, a fundamental requirement for a valid contract. This creates a fertile ground for discovery disputes, as litigants may seek to probe the specific prompts and AI versions used to prove that the drafting party did not actually understand the obligations they were signing.

Finally, the absence of the solicitor-client privilege during the contract creation phase will fundamentally weaken a company's position once a dispute reaches the courtroom. In traditional legal drafting, the iterative process between a CEO and their lawyer is protected, allowing for honest discussions about risk tolerance and strategic weaknesses. However, prompts fed into a third-party AI platform are generally not privileged and could be discoverable, potentially revealing that a company knew certain terms were risky but chose to proceed anyway for the sake of speed. This lack of a legal buffer means that during litigation, a company’s internal decision-making process is laid bare, making it much easier for plaintiffs to establish bad faith or gross negligence. As courts begin to set precedents on AI malpractice (due to the technical processes of technology), the cost of the resulting settlements and legal fees will likely dwarf the initial savings found by skipping professional legal counsel.

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