AERRIS vs ChatGPT, Claude and Copilot
A prompt answers a question. AERRIS structures the transaction.
General-purpose AI is flexible and immediately useful across knowledge work.
The difference is how much transaction structure the team must build and maintain itself.
Side by side
General-purpose AI
AERRIS
- Best for
General-purpose AI
Questions, drafting, summarisation and ad hoc analysis.
AERRIS
Repeatable transaction due diligence and contract intelligence.
- Starting point
General-purpose AI
A prompt and the documents the user brings to it.
AERRIS
A configured matter with scope, thresholds and materiality.
- How context is handled
General-purpose AI
Held in the conversation and rebuilt each session.
AERRIS
Held in the matter model and applied across the dataset.
- Primary output
General-purpose AI
An answer, summary or draft.
AERRIS
A transaction view linked to the clause that produced it.
- Best fit
General-purpose AI
Flexible individual work with low set-up.
AERRIS
Matters where the same structure must hold across a whole deal.
Which fits?
Choose general-purpose AI when…
- The task is one-off and exploratory.
- Flexibility matters more than repeatability.
- No configured matter structure is needed.
Choose AERRIS when…
- The analysis must be consistent across reviewers and documents.
- Findings need connected commercial context.
- Every conclusion must trace back to source.
The products are not necessarily mutually exclusive — the right choice depends on the work you need the platform to own.
Other comparisons
See AERRIS on a real matter.
Run a representative transaction through AERRIS and judge the resulting view for yourself.