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Description

LLMs and Document Analysis: Framing, Extracting and Verifying

Have your contracts, reports and minutes read by a large language model without losing control of the output

  • 0.43 days — 3 h
  • In-person or virtual
  • Intermediate
  • Up to 6 participants

Teams are buried in documents: tenders, audit reports, meeting minutes, supplier contracts. Early attempts with a language model produce plausible summaries that cannot be verified, and no one knows which part of the document was actually read.

Two hours to establish a working method: preparing the corpus, writing instructions that require the source passage to be quoted, comparing the answers obtained and spotting the cases where the model extrapolates. This short format is designed for immediate use on the documents each participant brings along.

Learning objectives

  • Prepare a document corpus that a language model can work with
  • Write extraction instructions that require the source passage to be quoted
  • Compare several query formulations on the same document
  • Identify extrapolated answers before any distribution
  • Organise a human review proportionate to the stakes of the document

What makes this programme different

Work carried out on the documents participants actually bring
A checklist for verifying the answers produced by the model
Extraction instructions that can be reused as they stand after the session

Programme

1Framing the document request

Knowing what you are looking for

  • Typology of document analysis tasks
  • Selecting the useful document rather than the entire corpus
  • Prior splitting and cleaning of files
  • Limits linked to context window size

2Writing instructions that hold up

Precision before length

  • Field-by-field extraction instructions
  • Requiring the source passage to be quoted
  • Imposing an output format on the model
  • Progressive rewording when the answer remains vague

3Verifying before distributing

The review stays human

  • Targeted rereading of the quoted passages
  • Spotting statements with no support in the text
  • Traceability of queries and versions
  • Confidentiality rules for sensitive documents

Who is it for

Data analysts and research officers, and anyone handling large volumes of business documents.

Prerequisites

Prior use of a conversational LLM assistant in a professional context.

Dates & locations

12 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.