Finalizing Supervised Learning Models: Visual Insights and Expert Insights from Jiyun Hyo at Givance

Contextualizing Legal AI: Bridging the Last Ten Percent Gap

In the rapidly evolving landscape of LegalTech, the application of artificial intelligence (AI) has emerged as a pivotal force, driving efficiencies and innovations in legal workflows. A notable discourse in this realm is centered on the insights shared by Jiyun Hyo, co-founder and CEO of Givance. His extensive background in robotics and mental health AI positions him uniquely to address the limitations of current legal AI tools. The primary objective is to transition from superficial AI outputs—akin to “shiny summaries”—to more reliable and verified work products that can withstand the scrutiny of high-stakes litigation.

At the heart of this dialogue lies the concept of the “last ten percent gap.” This term refers to the critical failings that often plague AI systems, where outputs may appear accurate but are undermined by essential details being overlooked. In the context of legal proceedings, such oversights—like a missing email or an incorrect timestamp—can severely compromise trust and the admissibility of evidence. Worryingly, when users request minor adjustments, many AI models tend to regenerate entire outputs, creating a cycle of inaccuracies rather than facilitating precise revisions.

Achieving the Main Goal: Enhanced Visual Evidence

To address the aforementioned challenges, Givance employs a novel approach that intertwines text with visual evidence, transforming extensive document repositories into interactive charts and diagrams. This transition facilitates clearer communication and understanding among legal professionals. By utilizing tools like Gantt charts, Sankey diagrams, and timelines, Givance enables legal teams to digest complex data rapidly, fostering more effective client interactions and courtroom presentations.

The main goal of bridging the last ten percent gap can be realized through the following strategies:

1. **Interactive Visualizations**: By converting text-heavy documents into visual formats, Givance allows legal professionals to identify critical evidence and narratives more efficiently.
2. **Traceability of Evidence**: Each visual output links back to the original source documents, ensuring that findings are grounded in verifiable data.
3. **Collaborative Feedback**: Engaging clients in the visualization process enhances communication and allows for iterative feedback, ultimately leading to a refined legal strategy.

Advantages of Givance’s Approach

The integration of advanced visual evidence tools within legal practices offers multiple advantages:

1. **Improved Comprehension**: Visual representations help legal teams and juries grasp complex relationships and timelines, which is particularly beneficial for intricate cases.
2. **Enhanced Accuracy**: By focusing on visual clarity, the risk of misinterpretation due to overlooked details is minimized, thereby increasing the reliability of evidence presented.
3. **Time Efficiency**: The transition from weeks of manual data analysis to near-instantaneous visual generation significantly reduces the time required for case preparation.
4. **Empowered Decision-Making**: By equipping attorneys with clear visual data, Givance supports informed decision-making during case formulation and strategy discussions.

However, it is essential to note that while Givance’s platform addresses many shortcomings of traditional legal AI tools, challenges remain. Users must adapt to new workflows and invest in learning how to leverage these visual tools effectively.

Future Implications of AI in LegalTech

As AI continues to evolve, its implications for the legal sector are profound. The integration of multimodal AI tools—those that combine text, visual, and auditory data—will likely redefine how legal professionals interact with technology. Jiyun Hyo posits that while traditional text-based search will persist due to familiarity and control, the future will see an increased demand for interactive visuals and AI-driven outputs.

The legal industry can anticipate the following shifts:

1. **Rise of Agentic AI**: The future may witness AI systems capable of performing complex analyses and negotiations autonomously, provided that adequate supervisory layers are implemented to ensure accuracy.
2. **Increased Standardization**: As more firms adopt visual AI tools, the standards for evidence presentation and analysis will likely shift, leading to a new norm in legal practices.
3. **Broader Accessibility**: Enhanced visual tools may democratize access to legal information, allowing smaller firms to compete with larger entities by leveraging advanced technologies.

In summary, the evolution of AI within the legal field promises to enhance the quality and efficiency of legal practices. By closing the last ten percent gap through innovative visual evidence solutions, platforms like Givance are setting the stage for a future where legal professionals can operate with unprecedented clarity and confidence in their tools.