A generic contract reviewer tells you a clause exists. A useful one tells you this indemnity differs from your standard position in a way your team has previously refused — which requires knowing your position, not contract law in general.
All Legal & Compliance →
Every legal team has a set of positions: what it will accept on limitation of liability, which governing laws are fine, where it needs a carve-out, what triggers escalation to the general counsel. In most organisations this exists partly in a template, partly in precedent, and substantially in the heads of two or three people.
Extracting that into an explicit, versioned playbook is most of the work in a contract-review deployment, and it is work with value independent of any AI system — teams commonly discover during it that their stated position and their actual practice have diverged. The model then compares an incoming contract against it and reports differences.
Framed this way, the task becomes tractable and evaluable. “Is this contract risky?” is unanswerable and unmeasurable. “Does clause 12 depart from position 7, and how?” has a right answer that a lawyer can confirm or reject, which means you can build an evaluation set and know whether the thing works.
any format
clauses and defined terms
against your playbook positions
position · quote · difference
or dismisses in seconds
absence is flagged too
It changes what first-pass review is: instead of reading the whole document to find issues, a lawyer starts from a list of candidate issues with evidence attached. The judgement stays human, and for high-value contracts full reading does not go away. The saving is real and it is not the same as replacement.
Then building one is the first phase, and it is worth doing on its own merits. We extract it from your templates, your precedent and interviews with the people holding it. Teams regularly find during this that their positions have drifted, which is a finding worth having.
It compares against positions you have defined, including jurisdiction-specific ones you supply. It is not a substitute for local law advice and we would not present it as one — it is a comparison engine, and its knowledge is your playbook.
It is the deliverable with value whether or not you go on to automate the comparison.
30-minute technical call · no deck
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.
Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.
Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.
Apps, platforms and campaigns for these teams, long before the AI work. Every one is written up on the work page — what we did, and where our part ended.
