Course · Law and Data
Contract Analytics for Lawyers
Turn contracts into data: a clause library, cleaning, portfolio questions, renewals and notice deadlines, benchmarks and honest reading of results.
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Every legal team holds hundreds of contracts and can answer almost no question about them as a group. Contract analytics changes that: it turns contracts into data you can count, filter, chart and check. This course teaches the part software does not do for you: deciding what to record, tagging consistently, cleaning the data, tracking renewals and notice deadlines, benchmarking terms, and reading the results without being misled.
The Curriculum
What contract analytics is, and the contract data model→
The fields worth recording and why each needs a definition. Lab: Contract Data Sheet.
Clause libraries and tagging→
Taxonomies, definitions, and measuring whether two reviewers tag the same way. Lab: Clause Tagger with an agreement report.
Cleaning contract data→
Dates, currencies, names, duplicates and blanks that quietly spoil a count. Lab: Data Cleaner.
Asking the portfolio questions→
Filters, counts, totals and the denominator, on a portfolio of 60 contracts. Lab: Portfolio Explorer.
Renewals, deadlines and money at risk→
Work out the last day to stop an automatic renewal and see which windows have closed. Lab: Notice Calendar.
Benchmarks and outliers→
Medians, quartiles and percentile rank, and what to do with an extreme value. Lab: Benchmark Finder.
Reading results honestly→
Averages, missing data, mixed currencies and unrepresentative samples. Lab: Dashboard Critic.
Capstone: The Sigeric Supplies portfolio review→
Seventy contracts, six questions, a data-quality check and a one-page report.
What It Covers
“Hundreds of contracts, one clear picture: what to record, how to check it, and how to read the answer honestly.”
- All contracts, parties and figures are invented, and every answer is exact and checkable.
- No coding and no software purchase: a spreadsheet is enough.
- A capstone portfolio review with a data-quality check and a one-page report.
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Other Scrolls in This Chamber
Legal Risk Quantification$15 →Turn legal judgement into numbers a client can use: probabilities, ranges, expected cost, decision trees, simulation and risk registers.
Checking Legal AI Tools$15 →Test and supervise legal AI tools: planted errors, recall and precision, sampling, acceptance rates, extraction checks, playbooks and governance.
The Legal AI Lab$49 →Working tools for lawyers who use AI: a contract pipeline, verification, stress tests and more. The first exercise of each tool is free.Module 1 is free to try. Sign in, pass each module quiz and the course average, and your Certificate of Completion is emailed to you automatically. This course teaches a method with invented figures and fictional parties; it is not legal advice.
Contract analytics: common questions
- What is contract analytics?
- Contract analytics is the practice of turning a set of contracts into structured data, such as end dates, renewal terms, values and liability caps, so that you can count, filter, compare and chart them. It lets a legal team answer questions across hundreds of contracts at once, for example which ones renew next quarter or which have no liability cap.
- How do you extract data from contracts?
- First decide which fields you need and define each one precisely. Then record them, by hand or with software, taking each value from the clause that governs it and noting the clause reference. Finally, check a random sample of the records against the source contracts to measure the error rate before you rely on the data.
- How do you track contract renewal dates?
- Record the end of the current term, whether the contract renews automatically, and the notice period. The last day to stop an automatic renewal is the term end minus the notice period. Set alerts on that deadline, with warning time before it, not on the end date.
- What is a clause library?
- A clause library is a collection of clauses tagged by type, such as payment, termination or liability. A written definition for each tag and a check that two reviewers tag the same way are what make the library reliable enough to count and compare clauses.
- Do you need to be able to code to do contract analytics?
- No. Everything in this course works with the thinking that sits behind the tools: what to record, how to clean it, what to ask, and how to read the answer. A spreadsheet is enough to apply it.
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