AI Letterhead AI & Injury Law Canada Issue #18

💡 Deep Dive Analysis

Capturing Legal Reasoning Paths from Facts to Law in Court Judgments using Knowledge Graphs

🧾 What Happened

Researchers developed a sophisticated Legal Knowledge Graph (LKG) by analyzing and extracting information from a corpus of 648 Japanese administrative court decisions. By utilizing advanced large language models (LLMs), they meticulously identified and interconnected key elements such as factual circumstances, legal norms, statutory provisions, and their respective applications. This process effectively creates a structured representation of judicial reasoning, illuminating the ways in which judges derive legal conclusions from the facts presented in cases.

The resulting Knowledge Graph serves to clarify and formalize the implicit logic inherent in court rulings, making it both explicit and machine-readable. This innovation allows for a more nuanced understanding of judicial decision-making.

Subsequent experiments were conducted to evaluate the performance of this structured graph in the context of legal search tasks. The researchers found that the LKG significantly outperformed traditional large language models and retrieval-augmented systems, demonstrating its potential as a powerful tool for enhancing legal research and analysis.

⚖️ Why It Matters

Legal AI systems often exhibit limitations, primarily in their ability to engage in the profound and structured reasoning that judges employ in their decision-making processes. While these systems can imitate legal terminology, they often lack the depth required for nuanced legal analysis.

A significant advancement in this area is the introduction of the Legal Knowledge Graph (LKG), which enables users—including lawyers, judges, and junior practitioners—to trace the reasoning behind legal conclusions step by step. This transparency and traceability enhance the understanding of how specific legal outcomes are derived.

Furthermore, the LKG revolutionizes legal research by starting with factual scenarios rather than legal statutes. This approach allows users to identify relevant laws based on concrete facts, effectively reversing the traditional workflow of legal research.

In addition, the team behind this innovation has made a notable contribution to the field by releasing their code, data, and ontology as open-source resources. This openness promotes further research and facilitates the development of practical applications in the legal domain.

💡 My Take

In recent studies, Legal Knowledge Graphs (LKGs) have demonstrated a marked superiority over even the most sophisticated large language models (LLMs) and retrieval-augmented methodologies in the context of accurately extracting pertinent legal provisions from specific factual scenarios. This efficacy is attributed to the structured and transparent nature of their representation of legal reasoning processes. The evidence presented herein underscores the necessity of employing explicit graph-based models for the attainment of precise and interpretable legal inferences, particularly in scenarios that require the application of multi-step logic and demonstrate a high demand for reliability.

The methodology employed in this research involves a comprehensive process of extracting and normalizing legal concepts, which are then interlinked within a rigorously defined legal ontology. This system has undergone meticulous validation through a combination of quantitative metrics and assessments by subject matter experts. Importantly, all associated code, data, and the LKG ontology are made available as open-source resources. This transparency is intended to promote broad stakeholder engagement and to facilitate further advancements within the field.

In conclusion, this work highlights the critical importance of hybrid systems that effectively amalgamate symbolic reasoning with the capabilities of large language models. Such an integrative approach is particularly vital in legally sensitive domains, where the imperatives of interpretability and factual precision are of the utmost importance.

📈 Quick Bytes

ChatGPT for lawyers: How AI is reshaping legal work in Canada

ChatGPT is impacting legal work in Canada by assisting lawyers with tasks such as legal research, document drafting, summarizing case law, and client communication. This technology enhances efficiency, allowing lawyers to allocate more time to higher-value activities, such as legal analysis and advocacy. However, it presents certain risks, including potential inaccuracies, confidentiality issues, and limitations in nuanced legal reasoning. Other AI tools, such as Google Gemini, Microsoft Copilot, Casetext CoCounsel, Sana, and Harvey, also provide legal support, with each tool offering distinct advantages. Instances of misuse, including the submission of fictitious citations generated by ChatGPT, underscore the necessity of verifying AI outputs. Canadian law societies are developing guidelines to promote the ethical use of technology, which emphasize the importance of supervision, data privacy, and ongoing education. Lawyers are advised to begin with non-sensitive tasks, train their teams, and ensure human oversight. As AI technology advances, legal professionals are expected to adapt by acquiring new skills and staying informed, utilizing tools like ChatGPT to enhance their expertise.

Litigation Funder’s Plan to Invest in Law Firms Called ‘Bad Policy,’ With Big Impacts

Burford Capital, a leading litigation finance firm, plans to make minority investments in law firms to support their growth, sparking widespread concern over ethical and legal implications. Critics argue that such investments could compromise lawyers’ loyalty to clients and shift focus toward profitability, potentially destabilizing the justice system. Most U.S. states prohibit nonlawyer ownership of law firms, though Burford may circumvent these rules using Managed Service Organizations (MSOs), which separate legal practice from asset management. While a Texas Bar ethics opinion cautiously supports MSOs under strict conditions, broader legality remains uncertain. Regulatory efforts to curb third-party litigation funding have gained traction in several states, though federal legislation has stalled. Opponents warn that investor influence could lead to excessive litigation, inflated costs, and diminished accountability, drawing parallels to the 2008 financial crisis. Burford maintains that it understands the ethical boundaries and values law firm independence.

AI’s impact on pharma and compliance functions

AI is rapidly transforming the pharmaceutical industry’s legal and compliance functions, as highlighted by Jessica Laham of Gilead Sciences Canada. In legal departments, AI is streamlining contract management, clause development, and research, with law firms leading adoption. In compliance, AI enhances data analytics, enabling proactive identification of risk patterns and trends. Its influence extends across drug development—from R&D and clinical trials to post-market safety monitoring and regulatory compliance. Laham emphasized the importance of aligning AI use with organizational values and governance, urging leaders to consider what is technologically possible, legally permissible, and ethically appropriate. To mitigate risks, she recommended leveraging the EU’s AI risk classification framework, establishing clear policies, providing targeted training, using approved tools with built-in safeguards, and carefully reviewing vendor contracts to protect sensitive data.

⚖️ Canadian Case Watch

Summary of Barry v. Anantharajah, 2025 ONCA 603

What Happened

Jacqueline Barry was hit by Priya Anantharajah's car in 2016 and sued for negligence, seeking $300,000 in general damages and $700,000 in special damages. Anantharajah's insurer only offered to settle without costs, while Barry offered $500,000.

In a 2024 trial, the jury found Barry 15% at fault, awarding her $24,166 in general damages and $26,000 for lost income, resulting in a net award of $16,160.50. Barry sought $404,809 in legal costs, but the judge awarded $300,000 after adjustments. The judge criticized the defence for their tactics and lack of reasonable offers.

Anantharajah appealed, arguing the damages were small enough for Small Claims Court and sought lower costs. The Ontario Court of Appeal upheld the trial judge's decisions, affirming Barry's success and the justification for the legal costs awarded. They noted that the losing party's conduct can affect costs.

Why It Matters

1. Clear Warning Against “Hardball” Litigation Strategies

This case serves as a profound and cautionary tale, underscoring the serious cost ramifications that Ontario courts will impose on defendants—and their insurers—who adopt a “zero” or “no liability” litigation strategy. Such an approach, which entails rejecting reasonable monetary offers despite clear evidence suggesting at least some degree of liability, is fraught with peril. The Court firmly established that parties who neglect to present realistic, risk-aware settlement proposals—even in relatively modest claims—could find themselves facing significant financial repercussions when they ultimately “lose” at trial.

Justice Mandhane, alongside the Court of Appeal, scrutinized the defendant’s unwillingness to propose a monetary offer, even in the face of credible expert evidence indicating that the plaintiff’s mental health had indeed suffered harm. This avoidance of reasonable engagement in the litigation process was deemed indefensible. The trial judge condemned the defence’s tactics, which leaned on outdated stereotypes and biases regarding mental illness, positing that such strategies created an unjust and inequitable landscape for the plaintiff, thus compelling a trial that was both unnecessary and that drained valuable resources.

2. Proportionality Does Not Trump All

While the principle of proportionality—the idea that legal expenses should correlate with the claim’s size and complexity—remains an essential element of litigation, it does not overshadow all other critical considerations. The Court of Appeal emphasized that proportionality must be weighed against a multitude of objectives: ensuring fair compensation for the victorious party, fostering reasonable pre-trial conduct and settlement offers, deterring “bullying” or “scorched earth” litigation tactics, and enhancing overall access to justice.

As articulated by the Court, if courts were to cap costs at the amount recovered—particularly in cases awarding only modest sums—defendants could exploit this benchmark, deliberately escalating costs by refusing to negotiate and forcing even deserving modest claimants to forfeit their challenges. The end result would be a stark “denial of access to justice,” which stands in direct contradiction to the very purpose of cost regulations.

3. Success is Measured Against the Parties’ Positions, Not Just the Final Dollar Figure

In a significant ruling, the appellate court clarified that “success” at trial should be assessed through a nuanced lens that considers the relative positions of the parties, rather than merely the final financial figures associated with a settlement offer. In the case of Barry, the defence maintained that the plaintiff should receive nothing; however, the plaintiff emerged victorious, securing both general damages and compensation for income losses. The trial judge, along with the appellate court, recognized this as a meaningful “victory” within the context of the overall litigation.

4. Appellate Deference to Trial Judges on Costs

The Court of Appeal reaffirmed that decisions regarding legal cost awards belong to the realm of judicial discretion—implying that appellate courts will generally avoid interference unless an apparent deviation from established principles or a patently unreasonable outcome presents itself. The trial judge's intimate knowledge of the case, the parties involved, and the intricacies of the proceedings afford them unique insights into the fairness and appropriateness of a costs award. This high threshold of deference was upheld in Barry, where the trial judge’s meticulous consideration of Rule 57.01 factors and the explicit adjustments made for proportionality were deemed commendable rather than erroneous.

5. Settlement Offers and Insurance Act Provisions are Central

The ruling draws attention to the vital significance of strategic and genuine settlement offers as outlined in Rule 49 and crucial provisions of Ontario’s Insurance Act (notably, sections 258.5 and 258.6). Both statutory requirements and established case law—such as Persampieri v. Hobbs and Moustakis v. Agbuya—clearly indicate that parties who neglect to engage meaningfully in settlement discussions and who unnecessarily prolong litigation may face penalties in terms of adverse costs, even when awarded damages are modest.

6. Damages, Contributory Negligence, and Deductibles

This case further highlights how statutory deductibles (set to exceed $46,000 in 2024 for non-pecuniary damages) and findings of contributory negligence can dramatically diminish plaintiffs’ net damage awards in motor vehicle accident cases. Despite such reductions, defendants are not shielded from hefty costs; the mere existence of a reduced net award does not absolve them from the consequences of poor litigation conduct or failure to acknowledge even partial liability.

Key Takeaway

In the case of Barry v. Anantharajah, the Ontario courts provide essential principles that guide legal practitioners and litigants regarding the cost implications in civil litigation.

The judiciary in Ontario takes a firm stance against parties, particularly insurers, who employ extreme settlement tactics such as “no pay” or aggressive “hardball” approaches. The courts are likely to impose significant cost awards against these tactics, promoting fair litigation practices and meaningful settlement discussions.

While the principle of proportionality concerning litigation costs is essential, it does not operate in isolation. Courts consider multiple factors, including fairness in judicial processes, the need to deter unreasonable litigation, and the overarching aim of ensuring access to justice. These elements can hold equal weight in shaping judicial decisions regarding costs.

The concept of “success” at trial is inherently contextual. The assessment extends beyond the monetary verdict awarded, incorporating the effectiveness of each party’s litigation strategy, their willingness to negotiate in good faith, and the nature of settlement offers exchanged throughout the process.

Appellate courts generally exhibit significant deference to the decisions of trial judges concerning costs. Such determinations are rarely overturned unless clear evidence of judicial error or resulting injustice is presented, emphasizing the trial judge's insights and observations.

Defendants engaging in “hardball” defence strategies must recognize the associated financial risks. They may incur substantial legal costs even if a plaintiff receives a nominal damages award, highlighting the need for a balanced and strategic approach to litigation.

Implementing an effective and well-considered settlement strategy is crucial. A well-articulated Rule 49 offer, alongside comprehensive risk assessments by both parties, can significantly reduce the likelihood of punitive cost awards and foster a favourable environment for resolution.

The ruling in Barry v. Anantharajah reinforces the commitment to access to justice within Ontario’s litigation cost framework. It ensures that legitimate claimants are not deterred from pursuing valid claims due to disproportionately high financial risks or aggressive adversarial tactics.

Conclusion: The key takeaway from Barry v. Anantharajah for practitioners engaged in civil litigation in Ontario—especially in personal injury cases—is clear: aggressive “hardball” tactics that disregard realistic trial risks, dismiss genuine settlement offers, or aim to coerce claim abandonment can result in severe financial repercussions. Maintaining a focus on reasonableness and realism in assessing litigation strategies and conduct is essential for all parties to mitigate potential cost penalties.

💬 Got a story tip, tool to test, or want to collaborate? Email me at [email protected]