AI for Legal tech

Sample Build Sprint Pack

What the $10,000 Build Sprint delivers.

A sample Build Sprint Pack for Recordly on Tessaline, a fictional legal document platform. Three weeks: one user outcome working in staging, with the evidence to decide on production.

What you get

  • One user outcome working in your staging, behind a feature flag
  • Pull requests to your repository, reviewed by your engineers
  • Quality and safety evals against the bar you agreed
  • The cost per question on two models, and a packaging recommendation
  • A fixed-price quote for production; the $10,000 counts toward it

Illustrative demo on a fictional agency and firm. Not client work.

The outcome

Case teams get cited answers from their own matter files.

Three related capabilities, built in your repository on sample case files, behind a feature flag.

Built in the Sprint

  • Retrieval scoped by firm, matter and clearance before ranking
  • Answers cited to the page, or a clear decline
  • Approved text pushed from your document system, originals left in place

How the three weeks run

  • Week 1: document flows mapped, eval set agreed with your reviewer
  • Week 2: capabilities built as pull requests to your repo
  • Week 3: evals, cost to serve, the Sprint Pack and the quote

01 · Evals

Quality measured on your eval set.

Illustrative results on a fictional product.

Answers cited to the right page182 of 20090%
Questions the files do not cover, declined40 of 40100%
Names and dates matching the source200 of 200100%
Another matter's documents returned0 of 30 attempts0

02 · Cost to serve

A cost per question before you price it.

Compared on two models, with the assumptions shown. Your figures come from your own usage.

03 · Packaging

Include it, or sell it as a tier.

A recommendation from the cost per question and what your users said in the Sprint.

04 · Quote

A fixed price to take it to production.

The fixed quote is in your Sprint Pack. If you go ahead, the $10,000 counts toward it; if you stop, you keep what we built.

See what a Build Sprint would deliver on your platform.

Bring the outcome your users ask for. In 30 minutes we agree whether a module fits and what the Sprint would build.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.