¡NUNCA más Escribirás un Prompt Igual! Trucos de IA para Abogados

Understanding Prompt Engineering in Law

Introduction to the Topic

• The video features Pablo Safez de Hurtado, a technologist and jurist, discussing the importance of prompting for legal professionals.

• Emphasizes that effective prompting is crucial for obtaining quality results, particularly in legal contexts.

Techniques for Effective Prompting

• Advanced prompting techniques are necessary to achieve rigorous and reliable outcomes in legal inquiries.

• The discussion will cover how to optimize requests made to various AI models, focusing on the process of asking effectively.

Tools and Resources

• Pablo plans to demonstrate several tools including ChatGPT (with Plus version), Google Studio, Gemini, GR 4, Manus, and Clop.

• Highlights the advantages of using advanced versions of these tools for better performance in generating prompts.

Understanding Prompt Engineering

• Defines prompt engineering as a critical skill that has gained significance since September 2024 with advancements in AI models.

• Discusses how newer models allow for more thoughtful responses due to their enhanced reasoning capabilities.

Evolution of AI Models

• Notes that as AI models evolve (e.g., Gemini 2.5), they exhibit improved inductive capacities which enhance their ability to act like experienced legal professionals.

• Stresses the need for adapting prompting strategies based on model improvements over time.

The Role of Contest Engineering

Definition and Importance

• Introduces contest engineering as an emerging skill akin to Socratic questioning—knowing what questions to ask is vital.

• Explains that effective data governance enhances model performance by optimizing connections between different components (MCP).

Practical Application

• Suggests two processes: first, requesting an optimal prompt from a model; second, ensuring context is included for clarity and effectiveness.

• Recommends preparing a solid document base (e.g., laws or regulations relevant to queries), emphasizing its importance before engaging with AI tools.

Introduction to AI Tools

Overview of AI Models

• The speaker introduces three AI models: Grock 4, CH GPT5, and Gemini, ranking Grock 4 as the best.

• To access the full features of CH GPT5 in "thinking mode," a payment of €22 is required unless using a workaround that allows limited access.

Workaround for Accessing Features

• Users can utilize a feature called "think more" (indicated by a lightbulb icon) to bypass payment for three or four iterations.

• Despite the workaround, the speaker emphasizes that paying for CH GPT Plus is worthwhile for enhanced functionality.

Legal Document Preparation

Importance of Legal Context

• The speaker discusses how to prepare legal documents rigorously, emphasizing the need to reference relevant laws accurately.

• An example is given about drafting an ordinary lawsuit based on civil law regarding testament nullity.

Key Legal References

• Two critical legal references are highlighted: the Civil Procedure Law and the Civil Code concerning testaments and their nullification causes.

Challenges with AI in Legal Practice

Addressing AI Limitations

• The discussion touches on "hallucinations" in AI responses—instances where models provide incorrect information due to their tendency not to admit ignorance.

• It’s noted that while some tools like Justicio are free, they may lack comprehensive capabilities compared to paid options.

Enhancing User Experience

• The speaker mentions improvements in user experience with CH GPT5's thinking mode and reduced hallucination rates when processing prompts.

Token Processing Capabilities

Understanding Token Limits

• A significant increase in token processing capacity is discussed; CH GPT can handle up to one million tokens per request.

• This capability was previously available in Gemini 2.5 but is noted as being better processed by CH GPT.

Prompt Engineering Techniques

Crafting Effective Prompts

• The importance of context when crafting prompts is emphasized; users must provide detailed background information for optimal results from AI models.

Comparison with Academic Research

• A parallel is drawn between preparing legal documents and academic thesis presentations, highlighting that those who create content often have deeper insights than reviewers.

Maximizing Potential with GPT Models

Understanding Optimal Prompting Techniques

• The speaker emphasizes that no one understands their thesis better than the person who created it, paralleling this to how users should craft prompts for models like GPT-5 to extract maximum potential.

• A useful tool mentioned is a Chrome extension called Lengwistol, which helps in correcting spelling errors, particularly beneficial for those concerned about orthography.

• Precision in prompting is crucial; using terms like "optimal" or "extraordinary" can create emotional pressure on the model to perform better.

Emotional Pressure and Incentives in Prompting

• The speaker discusses using emotional pressure as a technique in prompting, suggesting phrases like "I could get fired if this isn't done well," which has been shown to yield better results from the model.

• They mention financial incentives as another method of motivation, stating that offering $2,000 for high-quality output can influence performance positively.

Structuring Effective Prompts

• The importance of crafting prompts with specific language is highlighted; words such as "optimal," "extraordinary," and "inmejorable" are recommended to enhance clarity and focus.

• Emphasizing key ideas by writing them in uppercase can direct the model's attention effectively towards critical aspects of the task at hand.

Contextual Limitations and Clarity

• When requesting outputs from GPT models, it's essential to specify the version being used (e.g., GPT-5), as different versions may yield varying results based on their capabilities.

• The speaker advises including context-specific instructions within parentheses to minimize hallucinations or irrelevant outputs from the model.

Final Touches for Enhanced Output Quality

• Including explicit references to documents or deliverables ensures that the model stays focused on relevant information during its processing tasks.

• Mentioning trust in the model's abilities at the end of a prompt reinforces confidence and encourages optimal performance.

How to Optimize Your Use of Prompts in AI Tools

Saving and Managing Prompts

• The speaker discusses using Grock for saving prompts, noting that it can sometimes give the impression of not saving correctly.

• Introduction of "Prom Perfect," a free browser extension that enhances prompt management. It is recommended for better organization.

• Mention of another note-taking extension that integrates with Grock, emphasizing the importance of having multiple tools for effective prompt storage.

Understanding Reasoning Modes in AI

• Explanation of the reasoning mode in CHPT5, referencing philosopher Hannah Arendt's concept of taking a step back before responding to inquiries.

• The model's ability to optimize requests in real-time is highlighted as a significant advancement over previous versions like O3 or O4.

Enhancing Prompt Effectiveness

• Discussion on how the model processes extensive documents while maintaining efficiency without exhausting its token limit.

• A warning against skipping the thinking phase when using GPT5 Plus, as this could diminish output quality by bypassing thorough analysis.

Legal Applications and Document Generation

• The speaker explains how specialized legal models reduce hallucination risks by relying on solid documentation bases.

• An example is given where GPT5 generates a complete legal document (a will contest), which previously required manual effort.

Refinement and Review Process

• Emphasis on ensuring prompts are optimized for maximum potential output from GPT5, likening it to double-checking work before submission.

• The speaker encourages users to save their prompts systematically for future reference and refinement, reinforcing an analytical approach to prompt creation.

Understanding Document Anonymization and Legal Drafting

Importance of Anonymizing Client Documents

• The speaker emphasizes the necessity of anonymizing client documents before processing them to protect sensitive information.

Licensing and Data Usage in Language Models

• When using licenses like Plus or Enterprise, it is expected that large language models (e.g., ChatGPT) do not utilize user data for training purposes, ensuring privacy for paying subscribers.

Enhancing Legal Drafting with Checklists

• A pre-check checklist is introduced as a tool to ensure all necessary elements are included in legal demands, preventing omissions that could affect case outcomes.

Structuring Evidence in Legal Documents

• The speaker highlights the importance of aligning each relevant fact with appropriate evidence as per civil law requirements, enhancing clarity and comprehension in legal judgments.

Finalizing Legal Prompts for Optimal Results

• The process involves refining initial drafts by incorporating suggestions to create a comprehensive final version ready for submission, emphasizing thoroughness and attention to detail.

Leveraging Documentation Resources Effectively

Utilizing Available Resources Wisely

• The speaker advises never to relinquish available resources during legal drafting processes, stressing the value of maintaining comprehensive documentation.

Iterative Refinement Process

• A reiteration of previous insights on inference is mentioned as part of the iterative process leading to a definitive prompt that combines earlier drafts and suggestions effectively.

Structuring Demands with Precision

Incorporating Structured Inputs into Legal Drafting

• The discussion includes creating structured inputs within legal documents where specific variables must be filled out accurately, improving precision in submissions.

Clarifying Testaments and Their Types

• The speaker notes the importance of specifying types of testaments (e.g., open, closed, holographic), which adds critical context to legal demands being drafted.

Understanding Legal Contexts in Document Drafting

The Role of Context in Legal Documentation

• The speaker discusses the importance of context in legal documentation, emphasizing that various factors such as capacity, error, or intent can influence the drafting process.

• It is noted that understanding different types of wills (e.g., open vs. holographic) and their implications varies by jurisdiction, particularly across Latin America.

• The speaker highlights the necessity for additional data to create a comprehensive legal demand, indicating that initial information may be insufficient for complete documentation.

Enhancing Document Completeness

• A system is introduced where users can input additional data into a code structure to enhance the completeness of legal documents generated from preliminary drafts.

• The discussion emphasizes how advanced prompts can lead to well-rounded demands but still require user input to fill gaps in information.

Efficient Demand Writing Techniques

• The conversation shifts towards practical methods for writing demands quickly and effectively using voice recording as an alternative to typing.

• Recording informal notes while consulting documents allows for a more fluid collection of facts which can later be transformed into formal legal language.

Utilizing Technology in Legal Processes

• The use of AI tools is recommended for converting recorded notes into structured legal documents, ensuring both factual accuracy and proper legal terminology are maintained.

• Emphasis is placed on providing both factual context and applicable law within the same framework to streamline document creation.

Practical Steps for Document Preparation

• Recommendations include using specific transcription software like Google Studio or Gem 2.5 Pro for efficient processing of recorded information into written form.

• A step-by-step approach is suggested for maintaining clarity during document preparation, including starting fresh chats to avoid confusion with previous contexts.

Finalizing Documentation Process

• Importance is placed on allowing sufficient time for processing and reviewing outputs from AI tools while utilizing spell-check features to ensure quality control.

• The speaker encourages flexibility in adapting content based on real-time feedback during the drafting process, reinforcing an iterative approach to creating legal documents.

Transcribing and Utilizing Audio Files for Legal Drafting

Introduction to Transcription Tools

• The speaker discusses using MP4 files for transcription, highlighting Google I Studio as a preferred tool. They mention its effectiveness in transforming audio into text.

• A reference is made to another transcription software available on the Mac store, which is noted for being user-friendly and cost-effective.

Process of Transcription

• The importance of meticulous transcription is emphasized; the speaker insists on capturing every word accurately to preserve the integrity of the conversation.

• The speaker explains that after obtaining a literal transcription, it can be refined using AI models to produce legally sound documents.

Legal Document Preparation

• Once transcribed, the information can be formatted into legal language suitable for demands or other legal documents, ensuring no critical details are overlooked.

• The discussion includes how AI can assist in drafting precise legal narratives by treating facts as proven within a legal context.

Enhancing Document Quality

• There’s an emphasis on maintaining high-quality outputs by utilizing advanced tools without losing valuable resources during the drafting process.

• The speaker advises against omitting any part of the process to maximize efficiency and quality in document preparation.

Leveraging AI for Complex Tasks

• A metaphor is used comparing AI's processing capabilities to a team of lawyers brainstorming solutions, illustrating its potential in handling complex legal scenarios.

• The importance of not skipping steps in reasoning processes when using AI tools is highlighted; doing so could lead to subpar results.

Conclusion: Optimizing Time with Technology

• Strategies are shared about managing multiple AI models simultaneously to enhance productivity while working on legal tasks.

• Finally, there’s mention of Grock as an even more advanced tool than GPT, indicating ongoing advancements in technology that aid legal professionals.

Discussion on Legal Procedures and AI Tools

Overview of the Discussion

• The conversation highlights the constraints of time in addressing a specific legal case, suggesting that it could serve as material for future videos with different models.

• There is an emphasis on the importance of understanding the implications of relying on Silicon Valley technologies, particularly regarding data privacy and usage.

Data Privacy Concerns

• A cautionary note is raised about trusting Silicon Valley's promises regarding data handling, advocating for anonymization instead.

• The speaker mentions a tool available in GPT stores aimed at improving data anonymization processes.

Quality Assurance in AI Outputs

• Crafting high-quality prompts takes time but can lead to significant efficiency gains and problem avoidance later on. An anecdote illustrates this point through a story about someone losing retirement funds due to poor calculations.

• The discussion compares AI tools to airplanes, noting that while they are innovative, they require careful operation and human oversight to avoid failures.

Human Oversight in AI Applications

• Emphasizes the necessity of human verification when using automated systems; without it, there is a risk of errors similar to driving without attention. This underscores the role of experienced professionals in discerning meaningful outputs from AI tools.

Ongoing Legal Analysis

• The team continues deliberating within their boardroom setting, focusing on organizing demands and analyzing functional competition relevant to their case study. They aim to create hypothetical scenarios that fill gaps in their analysis process.

Demonstration of Model Capabilities

• A brief summary is requested regarding what each model can offer before concluding due to time constraints; this aims to provide clarity for the audience about potential applications and advantages of various models discussed earlier.

Importance of Traceability in Legal Context

• The conversation touches upon regulatory requirements for AI outputs being explainable, traceable, and auditable—key terms highlighted as essential for compliance with European regulations concerning artificial intelligence use cases.

Document Review Process

• Detailed steps are outlined regarding how documents are processed within legal frameworks; references are made to specific articles from civil codes that guide their analysis and reasoning throughout the case preparation process.

Understanding Legal Procedures and Document Preparation

Overview of Legal Demands and Evidence Submission

• Discussion on the burden of proof in civil law, emphasizing the importance of precautionary measures in legal requests.

• Introduction to the concept of contesting a will as a significant legal action, highlighting its rarity and complexity.

• Importance of refining initial drafts into model demands that can be reused for future cases, enhancing efficiency in legal practice.

• The process of submitting a well-prepared demand involves collaboration with legal professionals to ensure accuracy and completeness.

• Emphasis on personalizing legal documents to reflect individual style while maintaining adherence to legal standards.

Utilizing Technology in Legal Drafting

• Introduction to innovative tools for drafting legal documents, including features that allow for easy editing and formatting similar to word processors.

• Mention of specific software capabilities that enhance user experience by allowing voice dictation instead of traditional typing methods.

• Explanation of how certain platforms enable users to create editable templates efficiently, streamlining the document preparation process.

• Discussion on optimizing document creation speed through advanced settings that reduce unnecessary computational load during drafting.

• Insights into editing existing drafts using intuitive interfaces that mimic familiar word processing environments.

Advanced Features for Enhanced Document Management

• Description of functionalities within drafting tools that allow users to customize text styles (bold, italics), improving document presentation quality.

• Highlighting the ability to adjust reading levels and final reviews within drafting software, catering to diverse audience needs.

• Encouragement for users to explore various modes within drafting applications for improved workflow efficiency and creativity in document design.

• Introduction to Grock as an advanced tool offering real-time access to information, beneficial for staying updated with current events relevant to legal practices.

• Discussion about limitations faced when integrating audio files into certain platforms compared with others like Grock which offers more flexibility.

Multitasking and Optimal Drafting Techniques

Introduction to Multitasking in Drafting

• The speaker emphasizes the importance of multitasking for optimal drafting, suggesting a structured approach to the process.

• They highlight that Grow 4 operates differently from other models, particularly emphasizing its advanced capabilities due to superior computational resources.

Capabilities of Grow 4

• Grow 4 is noted for having the largest cluster of Nvidia graphics cards, providing it with unmatched computing power compared to competitors like OpenAI's projects.

• The speaker mentions that using the "quicker" option in Grow 4 yields results similar to Grock 3 but prefers not to use it for better outcomes.

Efficiency and Updates

• The speaker discusses their experience with Grow 4's updates, noting significant improvements in speed and optimization since its initial release on July 9.

• They mention how user requests are now processed more efficiently than before, indicating ongoing enhancements in performance.

Summary of Drafting Process

• A simple yet effective drafting process is outlined: identifying multiple language models (e.g., Grock 4, CH GPT5 in reasoning mode).

• The speaker shares their daily workflow involving Google Studio alongside various AI tools for comprehensive drafting tasks.

Key Strategies for Effective Prompting

• Emphasizing collaboration with AI models, they suggest that no one understands how to extract maximum potential from a model better than the model itself.

• Important strategies include using powerful adjectives (e.g., "optimal," "extraordinary") and maintaining pressure on the model during prompting sessions.

Iterative Improvement Process

• The first phase involves delegating prompt creation back to the model for optimal output; this should be followed by iterative questioning about prompt effectiveness.

• In subsequent phases, users should provide documents relevant to prompts while encouraging the model to refine its suggestions based on previous iterations.

Final Thoughts and Key Takeaways

Incorporating Suggestions for Improvement

• The final version of the content should include all suggestions made during the session, ensuring comprehensive coverage. This will be shared in the video description for audience use.

Audience Engagement and Technology Insights

• The session was deemed highly interesting, with expectations that the audience will quickly start applying the discussed techniques, leading to positive results. The technology involved is not overly complex but requires understanding specific techniques.

Advanced Prompting Techniques

• Advanced prompting involves certain complexities that are essential for maximizing model performance in legal work. Understanding these nuances allows users to extract optimal results from advanced models available today.

Importance of Effective Prompting

• Mastery of prompting can significantly enhance outcomes, especially as models become more sophisticated and exhibit fewer inaccuracies (or "hallucinations"). Properly framing prompts is crucial for leveraging these advancements effectively.

Closing Remarks and Future Engagement

• The discussion concluded with appreciation for Pablo's contributions, highlighting the fruitful nature of the lengthy session. There are plans for future videos and ongoing discussions through their podcast series, indicating a commitment to continued learning and sharing insights within their community.