Can AI summarize a deposition transcript?

Yes. Any capable AI tool can summarise a deposition, examination or hearing transcript in minutes. The risk is a fluent summary that hides what it relied on, what it inferred and what it left out. Use AI for the first pass, tie every point to a page and line, and check before anything is filed or put to a witness.

What AI does well with transcripts

Transcripts suit AI. They are long, repetitive and organised by speaker. A good first pass can:

• list the topics covered and where each one starts;
• pull out admissions, concessions and changes of account;
• separate what the witness saw from what they were told;
• flag answers that conflict with another document on the file;
• draft a page-line digest for the junior who has to build the chronology.

That is hours of work, and it is the part of the job most practitioners are glad to hand over.

Where AI summaries go wrong

The failures are quieter than an invented case.

1. Compression into certainty. "The witness confirmed the meeting took place on 3 March" when the transcript says "I think it was early March, maybe the third." The summary is not false, but it is stronger than the evidence.
2. Inference presented as testimony. "The witness knew the contract had been varied" when the witness only said they had seen an email. Knowledge is an inference.
3. Quiet omission. A long transcript can be clipped. A summary built on the first part reads just as confidently as one built on the whole.
4. Quotes that are close, not exact. A paraphrase inside quotation marks is a misquotation once it reaches a submission.

None of these is caught by asking the tool whether it is sure.

A safe way to do it (any tool)

1. Give it the whole transcript, and say so. Ask for a summary that cites page and line for every point. A point with no pinpoint is a point you have to find yourself.
2. Ask for three lists, not one. What the witness said (with pinpoints). What may reasonably be drawn from it (labelled as inference). What the transcript does not establish.
3. Spot-check from the back. Pick points from the last third of the transcript and check them first. If the summary is thin there, it may not have read that far.
4. Check every quotation against the page. Not most of them. Every one that will travel into a document.
5. Keep the working. Save the summary with the version of the transcript it was made from, so someone can reconstruct it later.

How LIA approaches it

LIA (Legal Intel AI) is a reasoning desk for litigation, forensic, medico-legal and wrongful-justice files. A transcript is evidence like any other document on the matter, and the desk is built around the three lists above.

• Evidence, inference and gap on separate lines. What the transcript establishes, what may be drawn from it, and what it does not establish are classified apart, so "she saw an email" does not turn into "she knew".
• A search that shows what it read. On a Matter with three or more documents, or a long extract, you can tick Split a large search on Review. Files are searched one at a time, and the desk shows each as found or not found, with a short quote. A single Review can clip and miss a later page. The split shows what was read.
• Show working. Open the reconstruction, the counter-reading and what each conclusion depends on. If a conclusion rests on one answer at one page, you can see it.
• Deep Review. Two workings, then a settlement of what they agree on, what they contest and what is still open.
• A record, not a chat log. Export the classification, the working and the caution.

Transcripts can be uploaded or pulled from Google Drive or Dropbox, and files on a matter stay on that matter. LIA is not a law firm and does not give legal advice. It does not replace reading the transcript before you rely on it. It makes that reading faster, and it makes clear which parts still need it.

Try it on a real transcript: 150 free credits, no card.

FAQ

Can ChatGPT summarise a deposition? Yes. General assistants can produce a usable summary. Check that every point has a page and line, that inferences are labelled, and that quotations match the transcript exactly.

Is it safe to rely on an AI deposition summary in court? Not without checking it. Your duty to the court does not change with the tool. Courts have sanctioned lawyers for filing AI-generated material nobody checked.

What should an AI transcript summary include? Page and line references for every point, a separate list of inferences, a list of what the transcript does not establish, and exact quotations only where they have been checked.