Extraction
Pull hallucination-free answers straight from the source
Overview
Ask a legal document. Get the answer.
Extraction pulls answers to questions directly from legal documents. Use it to find key dates, clauses, doctrines, tests, obligations, parties, remedies, and other legally meaningful answers without asking a generative model to invent or paraphrase.
Why it matters
Pinpoint answers, no hallucinations
Kanon Answer Extractor gives legal engineers and product builders a fast, precise way to answer questions using only the text provided.
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Ask documents direct questions
Kanon Answer Extractor pulls pinpoint answers from legal documents, from “what is the governing law of this contract?” to “what doctrine did the judge rely on?”.
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Immune to hallucinations
Because answers are taken directly and exclusively from users’ inputs, Kanon Answer Extractor is immune from the hallucinations that typically plague generative models.
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Fast, precise, and cost-effective
Specialized for extractive legal question answering, Kanon Answer Extractor is significantly faster, more precise, and more cost-effective than generative models.
How teams use it
From long documents to exact answers
Build contract review tools, research copilots, due diligence workflows, evidence systems, and legal QA products that return source-grounded answers.
Pinpoint legal answers
Extract the exact answer span from contracts, judgments, legislation, evidence, and other legal materials.
Some legal products do not need generated prose. They need the answer, exactly where it appears in the source. Extraction is built for those moments: finding a governing law clause, a renewal date, a liability cap, a statutory test, or the doctrine a judge relied on.
Kanon Answer Extractor reads the input document and pulls out the answer to a question directly from that text. It is ideal for workflows where the user needs a grounded answer, not a model’s best attempt at paraphrasing one.
For legal engineers and vibe coders, the pattern is simple: send a document and a question, get back the answer span, and build the surrounding product experience around source-grounded outputs.
Kanon Answer Extractor
An extractive question answering model that pulls answers straight from legal documents.
As an extractive question answering model, Kanon Answer Extractor excels at pulling out answers to questions from legal documents, whether it is as simple as “what is the governing law of this contract?” or as complex as “what doctrine did the judge rely on in making her decision?”.
Because answers are taken directly and exclusively from users’ inputs, Kanon Answer Extractor is immune from the sort of hallucinations that typically plague generative models. It does not invent an answer; it extracts one from the text it is given.
It is also significantly faster, more precise, and more cost-effective than generative models by virtue of being specialized for a single, domain-specific task.
Extraction for legal products
Use source-grounded answers in review tools, research copilots, intake systems, and document automation workflows.
Extraction is useful anywhere your product needs a short, reliable answer from a long legal document. It can support contract review, due diligence, case analysis, regulatory review, evidence workflows, and internal knowledge systems.
Instead of asking a general-purpose model to summarize or infer, you can ask a targeted question and receive the answer directly from the document. That makes the output easier to show, verify, cite, and debug.
Use Kanon Answer Extractor on its own for direct document question answering, or combine it with embedding and reranking so users can search a collection, retrieve the right source, and extract the exact answer from it.