Four services that connect: a review to choose the workflow, a 28-day sprint to prove it on your own documents, agent development to put it into daily use, and the data work that keeps it accurate.
One delivery path
Each stage answers one question before the next begins: which workflow is worth doing, whether it works on your material, how it runs safely inside your systems, and how it stays accurate once people rely on it.
Not every project needs all four. The first engagement should settle the biggest open question without committing you to software you don’t need.
01 Assess
Find out where AI is worth using in your work, what is technically realistic, and what to test first.
Map the workflow, evidence, value, risk, and ownership before choosing technology.
02 Prove
A 28-day sprint that proves one AI workflow on your own files before you commit to a larger build.
Use representative files and explicit success criteria to test the narrowest complete flow.
03 Deploy
Agents that read files, extract facts, draft outputs, work with your systems and pass uncertain cases to a person.
Add integrations, permissions, human review, error handling, and operating controls.
04 Improve
Pipelines, retrieval, evaluation and monitoring that keep AI accurate on your documents after launch.
Measure failures and outcomes, maintain the data layer, and release evidence-based changes.
CasePulse, AutoBOQ and Law AajKal each have a build note covering the problem, the architecture, the constraints and what you can check for yourself. We publish what exists and don’t invent client outcomes.
Read the product build notes
UK case law, searchable, with the citations between judgments linked.
56,000+ judgments and 411,000+ citation links: corpus counts from The National Archives' Find Case Law.
Drawing PDFs in, a bill of quantities an estimator can review out.
Limited-access prototype; codes on request from the tool page.
Indian judgments explained daily, on web, iOS and Android.
Live product with an App Store listing and a published build note.Tell us which piece of work you’d like AI to take on. We’ll reply with what a system could do, what it should leave to a person, and what a first version would take to build.
