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AI evaluation & trainingEvaluation libraryLegal contract side-by-side evaluation

Legal contract side‑by‑side evaluation

A blind side-by-side evaluation of two anonymised models on 20 contract lifecycle tasks, rated by legal experts against a structured rubric.

At a glance

A completed blind side-by-side evaluation of two anonymised model responses across 20 contract lifecycle management tasks. The tasks are built from public SEC-filed agreements. Legal subject-matter experts rated each pair against a structured rubric and gave an overall preference.

Contents
20 contract tasks, 2 responses each
Source
Public SEC-filed agreements
Graded by
Legal experts, blind
Output
Rubric ratings and overall preference

What’s included

The tasks ship with everything needed to read the ratings in context.

  1. 01

    Contract tasks

    20 contract lifecycle management tasks, each with its task context.

  2. 02

    Sanitised contracts

    Substitutes for the public SEC-filed agreements the tasks are built from.

  3. 03

    Structured rubric

    The criteria legal experts applied to each pair of responses.

  4. 04

    Expert ratings

    Rubric ratings and an overall preference for every pair, given blind to the model.

Capabilities tested

Grounding and citationsComprehensivenessMulti-step

Formats

Contract documentsTablesRubricsTask environmentsModel evaluation

How it was built

Built from the research team’s catalogue record.

PeopleAutomated
  1. Build tasks

    Contract lifecycle management tasks are built from public SEC-filed agreements, with sanitised substitutes for the contracts.

    Captured
    • Task context
    • Sanitised contracts
  2. Collect responses

    Automated

    Two models answer every task, and their responses are anonymised.

    Captured
    • Paired responses
  3. Blind review

    People

    Legal subject-matter experts rate each pair against a structured rubric, without knowing which model wrote which response.

    Captured
    • Rubric ratings per pair
  4. State a preference

    People

    For each pair, the expert gives an overall preference.

    Captured
    • Overall preference per pair

Run this on your own models

A completed blind evaluation: legal subject-matter experts rated two anonymised models on 20 contract tasks against a structured rubric.

Tell us the decisions you need to make. We’ll scope tasks, reviewers and grading with you.

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