By Brett Carlson
This article originally appeared in Law360 Canada and is republished here with permission. The views expressed are the author’s own and are not legal advice.
Family law disputes are among the most sensitive matters in our legal system. Emotions run high, logistics can be difficult, and proceedings are often costly and time-consuming. Online dispute resolution (ODR) has emerged as a practical way to reduce these hurdles. Paired with modern artificial intelligence (AI), ODR can streamline routine work, support self-represented litigants, and keep negotiations constructive—all while preserving fairness and due process.
Increased accessibility and efficiency
Traditional processes rely on in-person scheduling, court appearances, and professional support that may be out of reach for people in rural communities or with limited means. ODR platforms allow parties to participate from anywhere with an internet connection. AI amplifies these efficiencies by automating repetitive tasks such as document review, case triage, and scheduling, so participants and neutrals can focus on the substantive issues.
Cost reduction and support for self-represented litigants
AI-assisted tools help reduce costs by minimizing travel and automating routine work. For the growing number of self-represented litigants, guided workflows, natural-language interfaces, and document assembly can provide step-by-step support for preparing forms and understanding rights and obligations—helping level the playing field.
Consistency and reduced bias
Outcomes in family law can vary across jurisdictions and even among decision-makers. Properly designed AI systems apply rules consistently for non-discretionary tasks (for example, standardized support calculations). With careful oversight and auditing, models can be retrained to address disparities—offering a path toward more equitable outcomes.
Emotional regulation and conflict de-escalation
AI features such as sentiment analysis can flag inflammatory language and suggest constructive phrasing before messages are sent, which is particularly helpful in asynchronous ODR environments. These tools also guide mediators to potential “hot spots,” enabling timely intervention and more productive dialogue.
Data-driven insights
Aggregated, anonymized case data can illuminate patterns that lead to durable agreements. Predictive analytics may offer realistic ranges for property division or parenting arrangements, setting expectations and improving settlement prospects—while leaving final judgment to human neutrals or courts.
Conclusion
AI is not a substitute for human judgment in family law—but used intentionally within ODR platforms, it can make the process more accessible, affordable, and consistent. By automating routine tasks, supporting SRLs, reducing bias, and surfacing useful insights, AI can help advance access to justice while keeping fairness at the forefront.