eDiscovery AI Blog

The Value of Explanations: Understanding Document Coding Decisions in eDiscovery

Buddy Fisher

The Value of Explanations: Understanding Document Coding Decisions in eDiscovery


In the realm of eDiscovery, document coding decisions play a pivotal role in shaping case outcomes. As the adoption of advanced technologies like eDiscovery AI continues to transform the document review process, the need for explanations behind coding decisions becomes increasingly important. In this blog post, we will delve into the value of explanations in document coding, highlighting their significance in promoting transparency, accountability, and defensibility. By understanding the role of explanations, legal professionals can make informed decisions, gain deeper insights, and enhance the overall integrity of the eDiscovery process.

What are Explanations:

When using eDiscovery AI to review your documents, the tool provides you with an explanation for why a document would be classified as Relevant or Not Relevant. For example, a categorization might include an explanation such as “This document discusses Kirk Cousins, who is an NFL player, which would make this document relevant to the topic of football.” These explanations not only help you quickly identify the relevant content in a document, but also allow a better understanding of why a document was classified and how you might want to update your instructions to alter how similar documents might be classified. If a document is classified incorrectly, reviewing the explanation will be the first step in preventing similar errors in categorization in the future.

Promoting Transparency:

Explanations provide transparency by shedding light on the factors influencing document coding decisions. They offer insight into the rationale behind the coding process, enabling legal professionals to understand why specific documents were categorized as relevant or irrelevant. Key benefits of transparency include:

a. Understanding Decision-Making: Explanations help legal professionals comprehend the reasoning behind coding decisions, facilitating better comprehension of the case and enabling effective collaboration among team members.

b. Uncovering Bias or Error: Transparent explanations enable the identification of potential biases or errors in the coding process. By examining the factors influencing decisions, legal professionals can address any inadvertent biases or rectify mistakes, ensuring a fair and accurate review.

c. Facilitating Dispute Resolution: In the event of disputes or challenges to coding decisions, transparent explanations provide a basis for discussion and resolution. Stakeholders can refer to the explanations to engage in productive conversations and reach consensus.

Ensuring Accountability:

Explanations contribute to accountability by establishing a clear line of responsibility for document coding decisions. They hold legal professionals and AI systems accountable for their actions, ensuring adherence to legal standards and professional codes of conduct. Benefits of accountability include:

a. Legal Compliance: Explanations help ensure that document coding decisions align with legal requirements and obligations. By providing justifications for coding choices, legal professionals can demonstrate compliance with relevant laws and regulations.

b. Defensibility in Court: Transparent explanations strengthen the defensibility of coding decisions in legal proceedings. When the rationale behind the coding process is clearly articulated, legal professionals can effectively defend the decisions made during eDiscovery, enhancing the overall credibility of the case.

c. Auditing and Oversight: Explanations enable auditing and oversight of the coding process. By documenting the decision-making factors, legal professionals can conduct internal reviews, external audits, or quality control assessments to ensure accuracy and consistency.

Enhancing Understanding and Collaboration:

Explanations foster a deeper understanding of the document coding process and facilitate collaboration among legal professionals. Key advantages of enhanced understanding and collaboration include:

a. Knowledge Transfer: Explanations serve as valuable resources for knowledge transfer within legal teams. They capture insights, legal precedents, and contextual information, enabling the transfer of expertise and ensuring consistency in coding decisions.

b. Training and Education: Transparent explanations can be used to train new legal professionals or educate them on the coding process. By providing detailed justifications and examples, explanations enhance the learning experience and promote best practices.

c. Iterative Improvement: Explanations contribute to iterative improvement by enabling legal professionals to refine coding criteria and prompts based on insights gained from explanations. Continuous learning and refinement lead to enhanced accuracy and efficiency in future document reviews.


Explanations play a vital role in document coding decisions in eDiscovery. By promoting transparency, accountability, and understanding, explanations elevate the integrity of the coding process. Legal professionals can leverage explanations to gain insights, address biases, ensure compliance, and enhance collaboration. As eDiscovery evolves, embracing explanations as a cornerstone of coding decisions fosters trust, credibility, and defensibility in the legal realm, ultimately leading to more robust and reliable outcomes.

Learn More about AI-Powered Predictive Coding

Revolutionizing Document Review with Advanced AI

https://ediscoveryai.com/privacy-policy/ https://ediscoveryai.com/jim/ https://ediscoveryai.com/preview/ https://ediscoveryai.com/sample-page/ https://ediscoveryai.com/nda/ https://ediscoveryai.com/newsletter/ https://ediscoveryai.com/relativity/ https://ediscoveryai.com/booth-demo/ https://ediscoveryai.com/schedule-old/ https://ediscoveryai.com/homecopy/ https://ediscoveryai.com/jim30/