Introducing AI Powered Deposition Summaries


We utilize patent-pending technology and professional human oversight to produce industry-leading deposition summaries delivered alongside the full transcript. Highlights include:

  • Page/Line Summary with 100% Accurate Page/Line Citations: The most detailed document, comprehensive of all information from beginning to end, in chronological order. It includes a table of contents and a narrative-form conversion of the dialogue with 100% accurate page/line citations.
  • Key Admissions Extraction: Key admissions are particularly useful for getting a quick yet thorough understanding of the key takeaways from the deposition based on facts alleged in the complaint. Includes page/line citations.
  • Deposition Memos (Thematic Summary): Offers a succinct and focused summary of the most important themes discussed throughout, irrelevant of chronology, separating central points from less pertinent information found in the ‘miscellaneous/other’ section.
  • Hyperlinked to the Original Transcript: Facilitate human review with easy navigation links back and forth between the summary sections and the source dialogue.

See what these highlights look like by clicking the buttons below!

We pride ourselves on our high-level security measures so our clients can trust their case information is safe from all security risks.

Your data will be stored on SOC 2-compliant cloud infrastructure during document processing.

All data is encrypted at rest and in transit, with periodic key rotation.

OpenAI and Azure OpenAI ensure data cannot be retained, viewed, or used.

Magna utilizes a patent-pending “rigid” system that enables the highest degree of continued quality, particularly in eight key areas:

We utilize a proprietary patent-pending mechanical (non-AI powered) model enabling us to guarantee the accuracy of page/line citations. The system enables precise topic detection, ensuring citation ranges are precise (not too narrow or too broad) and contextually relevant. Our citations will always start with a question, providing sufficient context to understand the cited passage.

Magna’s professional overseers work to ensure correct deponent name and pronouns. In rare cases where a person’s name is gender-ambiguous and the pronoun populates incorrectly, we will promptly update the summary with the correct pronouns and redeploy the revised version.

We guarantee accurate text extraction and parsing. Occasionally, the system may unintentionally include timestamps and/or headers/footers from the transcript in the dialogue. Fortunately, these are easy fixes and in these rare cases, we will happily re-run any transcript free of charge.

At Magna, we deliver 100% comprehensive deposition summaries, ensuring no important detail is left out. Our AI-powered system captures all dialogue, guaranteeing access to critical facts, testimonies, and exchanges.

To provide you with a thorough understanding of the deposition and help you quickly identify crucial points, we offer three essential products:

  • Deposition Memos: A concise summary organized around key legal and factual themes.
  • Page/Line Summary: A detailed document chronologically covers the entire deposition, ensuring no important details are overlooked.
  • Key Admissions: Surfaces the most critical statements made by the deponent that may significantly impact the case.

We utilize methods to reduce exposure for contextual inaccuracies, but the AI may occasionally misinterpret the dialogue, particularly if the underlying testimony is ambiguous. In such cases, the hyperlinked citations enable easy verification against the source dialogue, and the summary can be easily edited in the provided Word Document. We happily work with our clients to correct the summary if significant misinterpretations occur. summary if significant misinterpretations occur.

Hallucinations, or the generation of content that is not grounded in the original transcript, are rare in our AI-generated deposition summaries. This is due to several factors:

  • Our use of state-of-the-art LLMs trained specifically for summarization tasks reduces the likelihood of hallucinations, as these models are designed to stay faithful to the input text.
  • Our proprietary method for contextual segmentation provides the AI with more focused input, further reducing the chances of hallucinations.
  • Our human-in-the-loop process allows for quality control checks to identify and correct any potential hallucinations before delivering the final summary to our clients.

In the rare instances where hallucinations do occur, they are generally easy to spot as they often appear as awkward language that is disconnected from the overall context of the deposition. Interestingly, if multiple hallucinations occur within a summary, they tend to be similar in nature. If significant hallucinations are detected, we will promptly re-run the summary generation process free of charge to ensure the accuracy and reliability of the final product.

During the human review process, we verify the accuracy of key elements such as the deponent’s name and gender pronouns, check page number alignment, and scan for glaring hallucinations or inconsistencies. While our human reviewers do not read the summaries in detail, their oversight provides an additional layer of quality control, ensuring that you can trust our summaries to be reliable, secure, and of the highest quality.