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Agentic AI in Law: Transforming the Legal Landscape

Agentic AI in Law: Transforming the Legal Landscape

September 1, 2025 Victoria Sterling -Business Editor Business

Summary of teh Provided Text: Jus Mundi and ⁢the Rise of AI Agents in ⁤Legal Work, Especially Arbitration

This text ⁢details the emergence of “agentic” AI ​systems in the legal⁤ field, focusing on the startup Jus Mundi and its application to arbitration. Here’s a breakdown of the key points:

1. The shift to Agentic AI:

Traditional AI vs. Agentic AI: ⁣ The article contrasts​ traditional AI‍ (based ⁢on pre-programmed⁣ sequences) with agentic AI,which is goal-oriented and operates more independently with‌ provided tools. The core idea is ‍giving the AI a ⁣ goal and the tools to achieve it, rather than step-by-step instructions.
lawyers Need Understanding: A ‌key warning is issued: lawyers must ​understand how these AI systems work.Lack of understanding means the system controls them,⁤ not the other⁣ way around.

2. Jus Mundi’s Application: Chronology in Arbitration

high Demand: Jus Mundi’s initial focus is on⁣ automating the creation of ‌chronologies of procedural events in arbitration cases. ‍This‍ is ‌a task frequently requested by⁤ their clients.
Automation Process: The system uses an “agent” and multiple tools:
​ ​ ⁣
Document Cleaning & OCR: ‍ Initial processing to make documents readable.
Meaning ​Extraction: Understanding the content of documents.
Date Extraction⁤ & Interpretation: ​Identifying and understanding dates within the documents.
Duplicate‍ Removal: Merging redundant facts.
Extraordinary ⁤Results: A ‍demonstration ‍showed the agent creating a chronology of 1,500 events ​from 70⁢ documents in seconds – a task that would typically take hours or days.

3.Risks and Concerns: Bias⁤ and Regulation

Potential for Bias: The ⁢article highlights ​the risk of AI amplifying existing ‍biases within the legal system ​if trained on ‍incomplete or skewed data.
Need for Control &‌ Transparency: Allowing judges or arbitrators‌ to use AI without oversight is considered “a very high risk.” Transparency and fair ‌design are crucial.
Ethical Considerations: ⁤claude Kirchner emphasizes the inherent biases in AI training and the need for users, especially in the legal field, to be aware of them.

4. ‍ Experimentation ‌and Adoption

Centric Software’s Approach: ⁢ Marina Stavrinides (Centric Software’s legal director) encourages her ⁢team to experiment with AI, emphasizing the ‍importance ⁤of⁤ verifying its⁤ output.
Continued Development: The​ article suggests that despite the risks, the development and adoption of agentic AI in the legal field are likely to continue.

In essence, the ⁢text presents a cautiously optimistic view ⁣of⁤ AI’s potential in legal⁢ work, especially arbitration, while strongly emphasizing the need for understanding, control, and ethical considerations to mitigate potential risks. The‌ focus on “agentic” AI represents a significant shift in how AI ⁣is being applied to complex⁢ legal tasks.

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