What kinds of documents can it review?

Contracts, filings, policies and other long documents where a fact is only useful if you can find where it came from.

How do we know the extraction is right?

Every term is linked to the clause it came from and given a confidence score. Those below your threshold go to a reviewer, so accuracy is checked rather than assumed.

Where do our documents go?

Agents run in your cloud account or on your premises, and documents are never used for training without a written agreement.

AI document review: every extracted fact tied to its source

Use case · Document review

Agents that pull terms, dates and obligations from long documents, each linked to the clause it came from.

Talk to usSee Agentic implementation

Where it helps

Term extraction

Renewal dates, notice periods and limits, with their clauses.

Conflict detection

Find clauses that contradict each other.

Summaries with sources

Short summaries where every line cites the document.

Example

A short example of the kind of trace this work produces.

Documents · Extraction

Question

Pull the renewal date and notice period from this contract.

Illustrative example, not live model output.

How we help

Agentic implementation

Agents that do real work, built on Lemma

Enterprise · For operations and product teams →

Questions

Talk to us

Contracts, filings, policies and other long documents where a fact is only useful if you can find where it came from.

Illustrative scenario · Financial services

An operations team hands contract review to an agent

Read the scenario →

Every extracted fact tied to its source

What we work on

Term extraction

Conflict detection

Summaries with sources

See the reasoning

Apps and services

Agentic implementation

Document review: common questions