AI in Deposition Summaries - How AI is Used to Create Legal Summaries the GenLaw Way

AI in Deposition Summaries:

  1. Data Extraction:

    • Natural Language Processing (NLP): AI systems, particularly those powered by NLP, can be employed to extract relevant information from deposition transcripts. They can identify key entities, events, and relationships within the text.

  2. Summarization:

    • Abstractive Summarization: AI algorithms can generate concise and coherent summaries by understanding the context and generating human-like language to represent the essential points in a deposition.

    • Extractive Summarization: Alternatively, AI systems can extract sentences directly from the deposition that represent the most crucial information without generating new text.

  3. Keyword and Keyphrase Extraction:

    • AI can identify and extract important keywords and key phrases that highlight the main topics and themes discussed in the deposition.

Human Quality Control:

  1. Legal Expertise:

    • Legal Professionals: Human reviewers, often legal professionals or experts in the relevant field, play a crucial role in ensuring that the AI-generated summary accurately captures the legal nuances and context of the deposition.

  2. Contextual Understanding:

    • Legal Context: Human reviewers can understand the broader legal context and implications of the information presented, ensuring that the summary does not omit critical details.

  3. Verification of Facts:

    • Fact-Checking: Human reviewers can fact-check the information extracted by AI to ensure accuracy. They can cross-reference the summary with the original deposition to identify any discrepancies.

  4. Ensuring Completeness:

    • Comprehensive Review: While AI is efficient, it may not capture all relevant details. Human reviewers can ensure that the summary is comprehensive and includes all key points necessary for a complete understanding.

  5. Quality Assurance:

    • Style and Structure: Human reviewers can assess the overall quality, coherence, and structure of the summary, ensuring that it aligns with legal writing standards and is suitable for its intended purpose.

Iterative Process:

The creation of deposition summaries often involves an iterative process where AI generates an initial summary, and human reviewers provide feedback and make necessary adjustments. This collaborative approach combines the efficiency of AI with the expertise and nuanced understanding of humans.

Kevin CummingsGenLaw Legal Summaries