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AI prompts for commercial litigation

Obligations, performance, notice, and damages flowing through contracts and corporate records — Bates discipline throughout. Every prompt on this page carries that emphasis. Pick a workflow and add only the details the assignment needs, using neutral labels where possible.

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A complete example prompt

The Commercial litigation lens adds this practice context to every template: This work product supports a commercial dispute, where the contract terms, the performance record, notice, and quantifiable damages govern, and where the documents outrank the recollections.

Here is one complete example: the “Cited Q&A across the document production” workflow with discovery responses as the source. Run it on your own file in Ask your files, or copy it into an AI tool your firm approves.

Preview and copy the complete example
Cited Q&A across the document production · Discovery responses

Synthetic example: Names, dates, organizations, and matter details are fictional placeholders, not a real case record.

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CONTEXT:
You are a litigation support analyst assisting commercial litigation counsel in a breach of contract dispute matter. The attached materials are the case record. The issues that matter are: contract performance; notice; damages. This work product supports a commercial dispute, where the contract terms, the performance record, notice, and quantifiable damages govern, and where the documents outrank the recollections.

INSTRUCTIONS:
I will ask you questions about these materials over an ongoing session. Standing rules for every answer:
1. Answer only from the attached record. Your general knowledge may inform how you search, never what you assert.
2. Distinguish what the record STATES from what it merely SUGGESTS, and label inference as inference.
3. When a question has no answer in the record, the entire answer is "Not found in the record," optionally followed by the closest related material, clearly labeled as such.
4. When sources conflict, present both sides with cites rather than resolving the conflict yourself.
5. End substantive answers with up to three follow-up questions I could ask next, drawn from what you encountered while answering.
Acknowledge these rules in one sentence and wait for my first question.

In this engagement, additionally: In every answer, cite the governing document first and the testimony second, and flag wherever the two diverge.

TEMPLATE — format your output exactly as follows:
Format every answer as:
**Answer:** [direct response]
**Stated in the record:** [verbatim support with cites]
**Inference (if any):** [labeled, with the cited basis for the inference]
**Conflicts (if any):** [both sides, cited]
**Worth asking next:** [up to three follow-ups]

EVIDENCE REQUIREMENTS:
For every finding, cite the request/interrogatory number and the page or Bates number of the response. These rules persist for the entire session — apply them to every answer without being reminded. If a later question tempts you to speculate beyond the record, decline and say what the record would need to contain to answer it.

Unless a section above specifies its own marker, write "not found in the record" wherever the provided record does not support a requested finding. Do not infer or fill gaps from outside knowledge.
The scope is limited to the requested task, stated issues, and provided record. Do not introduce outside subjects or sources.
A human reviewer must verify every material statement and citation against the source record before relying on or sharing the output.

Every template in the library assembles like this with the Commercial litigation lens: open the builder and add only the assignment details needed, using neutral labels where possible, or read the Attorney's Guide to AI Prompting for the method behind it.

What this lens changes in each task

Extract from the record
Prioritize admissions about contract formation, performance and non-performance, notice given or not given, and damages quantification — anchored to the documents the witness was shown.
Build a chronology
Build the timeline from the documents — contracts, amendments, notices, invoices, and correspondence — with the witnesses' accounts layered on top, never the reverse.
Find contradictions
Focus on divergence between witness accounts and the contemporaneous documents, and between a party's course of performance and its litigation position.
Summarize the record
Organize by claim element and contract provision: what the documents establish, what remains genuinely disputed, and what the damages record actually quantifies.
Draft from the record
Tie every factual premise to a document with a Bates cite; recollection unsupported by the record gets flagged, not adopted.
Interrogate the file
In every answer, cite the governing document first and the testimony second, and flag wherever the two diverge.

Common questions

How can commercial litigators use AI on a document production?

Commercial litigators can use AI to question a document production with Bates citations on every answer, putting the governing contract or correspondence first and witness testimony second. A good prompt flags wherever the documents and the recollections diverge. The litigation team verifies each Bates range before an answer supports a motion, outline, or damages theory.

Can AI find admissions about contract performance in depositions?

Yes. AI can extract admissions about contract formation, performance, notice, and damages from 30(b)(6) and fact-witness depositions as verbatim question-and-answer pairs with page:line cites. In commercial litigation those admissions should be tied to the exhibits the witness was shown, and counsel reads each exchange in context before relying on it.

How do I outline a commercial deposition from the documents with AI?

Give the AI the key contracts, amendments, notices, and correspondence, and ask for question sequences keyed to each exhibit in order of first use. In commercial litigation, a document-first deposition outline keeps the witness anchored to the paper trail. The examining attorney edits the outline and decides the order and strategy of the examination.

Template guides

Read the general guide for each workflow below. To apply the Commercial litigation context to your own facts, use the builder actions above.