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Benchmark Legal Extraction
Compare model answers with expected legal extractions
Use this Agent instantly or customize it - no programming needed
- Ready legal test caseReady legal test case
Your ready case includes the document, question, expected answer, extraction field, and batch ID.
- Benchmark settingsBenchmark settings
You choose the models, shared prompt, generation settings, rubric, and document submission approval.
- Previous benchmark resultsPrevious benchmark results
Your earlier case and batch results let the Agent update matches and recalculate totals.
Your legal test table holds ready cases and saves model results and batch comparisons.
- Case needing inputCase needing input
Your incomplete case moves to needing input before any model receives its text.
- Model extraction requestsModel extraction requests
Your selected models receive the same legal text, question, prompt, and settings.
Your model gateway runs the same extraction test across selected models and returns their answers or errors.
- Scored model answersScored model answers
Your results show each answer or request error beside the expected answer and verdict.
- Batch model comparisonBatch model comparison
Your summary shows pass, miss, and review counts plus field strengths and example cases.
This Agent starts when a legal test case is ready. It tests your selected models on the same extraction question. It scores answers against your expected answer and refreshes your batch comparison.
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Google DriveUsed as:
- Legal test table
Google Drive holds ready cases and saves model results and batch comparisons.
- Model gateway
Google Drive runs the same extraction test across selected models and returns their answers or errors.
AirtableUsed as:
- Legal test table
Airtable holds ready cases and saves model results and batch comparisons.
- Model gateway
Airtable runs the same extraction test across selected models and returns their answers or errors.
monday.comUsed as:
- Legal test table
monday.com holds ready cases and saves model results and batch comparisons.
Google ContactsUsed as:
- Legal test table
Google Contacts holds ready cases and saves model results and batch comparisons.
- Model gateway
Google Contacts runs the same extraction test across selected models and returns their answers or errors.
Microsoft Office 365Used as:
- Legal test table
Microsoft Office 365 holds ready cases and saves model results and batch comparisons.
KintoneUsed as:
- Legal test table
Kintone holds ready cases and saves model results and batch comparisons.
- Model gateway
Kintone runs the same extraction test across selected models and returns their answers or errors.
Made for your industry
Benchmark Legal Extraction is made for businesses in these industries.
- Software
Show where legal extraction models succeed or miss across test cases.
Show all Agents for the Software industry - Legal Services
Compare models on extracting answers from legal documents.
Show all Agents for the Legal Services industry
Made for your role
Benchmark Legal Extraction is made for people in these roles.
- QA Engineer
Track passes and misses across legal extraction tests.
Show all Agents for the QA Engineer role - AI Engineer
Score each model's legal extraction against the expected answer.
Show all Agents for the AI Engineer role - Legal Engineer
Flag model answers that miss legally important qualifiers.
Show all Agents for the Legal Engineer role
Made for your department
Benchmark Legal Extraction is made for people in these departments.
- Quality Assurance
Refresh model comparisons as new legal test cases arrive.
Show all Agents for the Quality Assurance department - AI Engineering
Benchmark approved models on the same legal extraction cases.
Show all Agents for the AI Engineering department
How Benchmark Legal Extraction works
4 steps, in order, on every run.
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Read the ready test caseRead the legal text, question, and expected answer from a ready case. Mark incomplete cases as needing input before running any model.
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Run the question across modelsSend the same legal text and question to your selected models with shared settings. Record any request error for later retry.
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Score and save model answersCompare answers with your expected answer using your rubric. Save each answer with its verdict and reason. Flag uncertain matches for review.
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Refresh the batch comparisonCount correct answers and misses by model. Refresh the batch summary with model counts and concrete examples of strengths and misses.
How to Get Started
Connect the tools you already use, such as Google Drive, Airtable or monday.com.
6 tools
- Choose a test base with a Cases table containing a unique case ID, batch ID, legal-document text, extraction field, extraction question, expected answer, and status. Add Results and Summary tables with fields for model answers, verdicts, reasons, and per-model counts; create a Ready to Benchmark view that requires all case inputs and Ready status.
- Connect the test base and model gateway, choose the approved model IDs, and set one prompt and the same generation settings for every model.
- Provide an extraction scoring rubric covering accepted equivalents, required legal qualifiers, missing information, and when a result needs human review; approve the document text for submission to the chosen models.
Use safe mode to approve every result before it goes out, or let the Agent run automatically.
FAQs
Frequently asked questions about the Benchmark Legal Extraction:
You choose the models, shared prompt and settings, and extraction rubric. You also approve the legal text for submission to those models.
You can review uncertain matches beside the raw answers. Model request errors stay with the case. Neither counts as a pass or miss until resolved.
You need a Cases table with unique case IDs and batch IDs. Add the legal text, extraction question, expected answer, and ready status. Results and Summary tables hold the comparison.
It stops and asks you. The Agent does not guess when it reaches a decision you have not approved.
Yes. Every run creates a plain-language log that you can review and export. Logs are kept for twelve months.
The Agent stops at the end of the billing month and its tool connections are removed. Your run logs remain available for twelve months.
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