How AI deposition summaries are cutting prep time
A 200-page deposition transcript used to mean a night (or three) of reading, highlighting, and re-reading before an attorney could actually use it. That math is changing. AI-generated deposition summaries are letting litigators turn a raw transcript into a working document in minutes rather than hours, and firms that have adopted the workflow are reporting prep time cut roughly in half.
The shift is part of a broader move toward AI in legal work. According to a recent ABA Legal Technology Survey Report, AI adoption among lawyers has nearly tripled over the past two years, and larger firms are leaning in the fastest. Deposition review is a natural next step. Transcripts are long, repetitive, and structured enough that a model can reliably extract who said what, when, and where the testimony matters to the case.
From transcript to working document
Instead of reading line-by-line for the third time, an attorney can generate a structured summary organized by topic, witness statement, and page-and-line citation. A well-built tool will flag admissions, inconsistencies with prior testimony, and exhibit references—the material a trial team actually needs to build a cross-examination outline or a summary judgment brief.
Inside 8am™ MyCase, that workflow lives in the 8am IQ Document Assistant. An attorney uploads the deposition transcript directly to the case file, and Document Assistant extracts the key details without a line-by-line read. Because the summary is generated and stored within the matter itself, it stays attached to the case record rather than living in a separate transcript-review tool that the team has to log in to, upload to, and remember to check. That matters for firms that have already consolidated case management, billing, and communications into a single platform—so the AI layer works where the file already lives.
The review pass that still isn’t optional
None of this replaces a human read of the transcript. Outputs can be misleading or inaccurate, and every AI-generated summary should be treated as a starting point, not a final work product. That’s especially true for deposition testimony, where nuance, tone, and what a witness didn’t say can matter as much as what’s on the page.
Before trial, someone on the team still needs to read the underlying transcript against the summary, confirm every citation, and catch anything the model flattened or missed—hedging language, a witness correcting themselves mid-answer, testimony that only matters in light of a document introduced later in the case. Treat the AI summary as the first pass that gets a team oriented fast, not the last pass that goes in front of a judge or into a cross outline unchecked. Firms that skip that step are trading a few hours saved for a much larger risk.
Where the saved hours actually go
Rather than spending hours tracking down the testimony that matters, attorneys can put that time into strategy, and let the review pass do the job of verifying instead of discovering. For firms with a steady docket of depositions, that’s not a minor efficiency tweak. It’s a real shift in how prep time gets spent, and where it counts most.
See it on a real case file. Schedule a MyCase demo to see how 8am IQ Document Assistant summarizes a deposition transcript directly inside the matter.
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