Articles
6 minutes

How to Use AI to Propound Discovery

In this article we're going to outline a process and give practical tips for how legal teams can leverage AI to propound discovery in a fraction of the time it would take to do this manually.
Written by
Jamie Fonarev
Published on
Apr 16, 2024

Introduction

In the intricate dance of litigation, the propounding of discovery is a critical step where the battle lines are drawn, and the strength of a case is tested. Labor and employment plaintiffs' lawyers understand that crafting precise and strategic discovery requests—Interrogatories, Document Requests, and Requests for Admissions—can make or break their pursuit of justice for clients. With the integration of generative AI into legal practice promises a significant reduction in the hours traditionally spent on this labor-intensive task. This powerful technology is not merely a tool for efficiency; it is a strategic ally that can dissect vast amounts of information to produce discovery documents that are both incisive and aligned with the nuanced objectives of each case.

This blog series aims to illuminate the path for labor and employment plaintiffs' lawyers seeking to integrate AI into their practice. We will delve into the specific advantages that generative AI offers during key steps throughout the case lifecycle. By embracing these cutting-edge tools, lawyers can not only enhance their case preparation but also gain a strategic edge, for each individual case, and as a firm in their market. Join us as we explore the transformative power of AI in labor and employment law, and learn how to leverage it to its fullest potential for the benefit of your clients.

The Role of AI in Efficiently Propounding Discovery

Traditionally, this phase has been a labor-intensive process, with attorneys meticulously drafting Interrogatories, Document Requests, and Requests for Admissions. These documents must be comprehensive yet precise, broad enough to cover all necessary ground without becoming mired in irrelevant details. The balance between the exhaustive and the essential in discovery is delicate and, if done manually, can consume an inordinate amount of time.

With its advanced capabilities, AI can process and analyze the myriad of documents and data points relevant to a case, from employment contracts to internal communications. It can then generate discovery requests that are not only thorough but also tailored to the specific contours of the legal issues at hand. This level of synthesis, which could traditionally take upwards of several hours, can now be accomplished in a fraction of the time, allowing lawyers to dedicate their expertise to the strategic nuances of the case rather than the rote compilation of information.

By inputting the case's details into the AI platform, lawyers can quickly receive a set of discovery documents that are coherent, focused, and aligned with the case's strategic objectives. This not only expedites the initial drafting process but also ensures that each request is crafted with an eye toward the ultimate goal—achieving the best possible outcome for the client.

In this article, we will explore the process by which labor and employment plaintiffs' lawyers can harness the power of AI to propel their discovery efforts forward. We will provide practical tips on how to leverage AI for crafting discovery requests that are both comprehensive and time-efficient, transforming what was once a daunting task into a streamlined and manageable one.

Step 1: Preparing Your AI for the Task

Before embarking on the critical task of propounding discovery, it is essential to prime your generative AI platform for the intricate work ahead. This preparatory step is the bedrock upon which the AI will build, ensuring that the requests generated are precise, relevant, and strategically aligned with your case goals. Here's the roadmap to get your AI ready for action:

Uploading Comprehensive Documents

The efficacy of AI in crafting discovery requests is contingent upon the breadth and depth of the information it has to work with. Start by compiling a comprehensive set of documents pertinent to your case—this may include pleadings, key evidence, client interviews, and any other material that provides context to the dispute at hand.

By creating a robust database of information, you empower the AI to sift through the data, identify critical patterns, and understand the legal landscape of your case. This meticulous approach ensures that the AI's output is reflective of the case's complexities and nuances, thereby avoiding potential oversights.

Setting Up AI "Instructions" for a Tailored Experience

While AI platforms possess remarkable capabilities, they operate most effectively when given clear, concise instructions. Setting up these instructions is akin to providing a detailed brief to a junior associate—it ensures that the AI's efforts are in lockstep with your specific discovery objectives.

If your AI platform isn't specifically designed for legal work, it's even more crucial to provide detailed context within your instructions to enhance the quality of the output.

Consider this template for AI instructions tailored to propounding discovery:

"I am Jim Johnson, an attorney at Eve Law. Eve Law is one of the most prominent and competent California Employment Law firms that represents plaintiffs in litigation against their employers.

You are a sophisticated legal assistant with expertise in the discovery processes. Your task is to assist in drafting discovery documents that are comprehensive, precise, and strategically targeted. Analyze the case files I have uploaded, and generate discovery requests that are directly relevant to the legal issues and factual circumstances of this case. Your output should be methodical, well-organized, and reflect a deep understanding of the discovery goals we aim to achieve."

 Your instructions should encapsulate these key elements:

  1. A brief introduction to your firm and its approach to discovery.
  2. A description of the desired AI persona (e.g., a detail-oriented discovery specialist).
  3. A clear directive on the role the AI should fulfill, including the types of discovery documents to generate and the specific information to focus on.

If you have a particular cause of action you are pursuing, you can even help narrow the focus of the AI. For example, you could add the following sentence to your instructions: 

"Your output should focus on helping us support our claims of wrongful termination."

By providing the AI with clear instructions, you set a clear path for it to follow, ensuring that the discovery documents it produces are in harmony with your firm's standards and the strategic direction of your case. This preparation is the cornerstone of a streamlined and effective discovery propounding process.

Step 2: Generating Discovery Requests with AI

Once your AI is primed with the necessary background information and clear instructions, it's time to begin the actual generation of discovery requests. This step is where the AI's capabilities to synthesize and analyze information are put to the test, with the goal of producing precise and relevant documents that will serve your case strategy effectively.

Crafting Tailored Interrogatories

Begin by asking the AI to draft a set of interrogatories that delve into the specifics of your case. These should be designed to uncover the facts that are most crucial to your claims or defenses. As above, if you have particular goals or case strategies you want to pursue, include those in your message.

💬 Example Message: Create 15 specialized interrogatories. These should be aimed at discovering the names of individuals who may serve as witnesses, or locating documents (including those in electronic format), which could prove a fact essential to establishing an element of our claim, or a fact that directly constitutes such an element. 

The AI will use the information provided to formulate questions that are not only legally pertinent but also strategically designed to elicit useful responses.

Preparing Document Requests

The AI can assist you in identifying and formulating requests for the production of documents that are likely to yield important evidence.You can be very broad or more specific about what kinds of documents you want the AI to focus on.

💬 Example Message: Create 25 requests for production of documents. Focus on documents that relate to the employer's internal communications regarding my client's performance and any complaints filed against them

The AI will analyze the case details to suggest documents that may include email threads, performance reviews, and HR records. 

Formulating Requests for Admissions

Requests for Admissions can be a powerful tool in affirming facts or the authenticity of documents. Instruct the AI to draft statements that the opposing party will need to admit or deny, focusing on the key issues of your case.

 💬 Example Message: "Create 15 requests for admissions that address the employer's stated reasons for my client's termination and any policy violations they allege."

The AI will craft statements that can simplify the issues for trial by confirming or denying critical aspects of the case.

Step 3: Reviewing and Finalizing Discovery Requests

With a set of AI-generated discovery requests in hand, the next critical phase is to review and refine these documents to ensure they meet the exacting standards of legal practice and align with your case strategy. This step is akin to the final polish on a crafted piece of work, ensuring that every detail serves the case's broader goals

 Reviewing AI-Generated Requests

Start by meticulously going through each discovery request generated by the AI. Evaluate them for precision, relevance, and strategic value. Ensure that each request is clear, concise, and likely to yield useful information or admissions from the opposing party.

💬 Example Message: "Review the list of document requests for any potential over breadth or ambiguity that could lead to objections from opposing counsel."

This review process is crucial as it helps to identify areas where the requests can be tightened or expanded upon to better serve the case's needs.

Collaborating with AI for Refinement

The AI is not just a tool for initial drafting but also a collaborator in the refinement process. The first output that you get is not the last. Use the AI's capabilities to rephrase, narrow, or broaden the scope of your requests based on your review.

💬 Example Message: "Refine the third interrogatory to more directly probe the employer's rationale behind the disciplinary actions taken against my client."

By iterating with the AI, you can ensure that the discovery requests are not only legally sound but also strategically targeted.

Finalizing the Discovery Documents

Once the requests have been reviewed and refined, it's time to finalize the documents. This involves ensuring that the requests are formatted correctly and are ready for service upon the opposing party.

💬 Example Message: "Format the finalized interrogatories and document requests into a numbered list with bold headings."

The AI can assist in this final step by organizing the requests into a formal document, complete with proper numbering, headings. You can also upload sample documents and have the AI match the formatting standards that you've already established in prior requests. 

Conclusion

The integration of AI into the discovery process marks a significant leap forward for labor and employment plaintiffs' lawyers. By leveraging the analytical prowess of AI, attorneys can now propound discovery with unprecedented efficiency and precision. The once-daunting task of drafting interrogatories, document requests, and requests for admissions has been transformed into a streamlined operation, allowing legal professionals to focus on the strategic elements that truly require their expertise.

The integration of AI into the process of propounding is just one transformative step, stay tuned for more content on how to leverage AI in the labor and employment case lifecycle.

Up Next: Responding to Discovery With AI

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