I made a legal contract review agent - which works (surprisingly well!).
...On any LLM, on any platform, on any device, give it some context and it will do a full mark up and review of any legal agreement. Damn. Now what am I going to do all day?...
This month I’ve been on a fairly intensive course on agent building, I’m only a few days in but one of the first tasks was to build a fully-functioning AI agent that would carry out a work task.
As a commercial lawyer, contracts take up much of my working day so I made one that can review and mark up commercial agreements. Having run it several times it seems to be very good. Add in any contract (goods, services, saas, software licence, distribution, agency), tell it who you are (buyer/seller/distributor etc) and which jurisdiction you’re in and it’ll do a decent job of reviewing the contract and will produce alternative wording as well.
(Usual disclaimer - it’s, of course no substitute for legal advice).
The agent itself was made on Claude (Cowork) but can be used anywhere (essential for clients of mine that can only use Microsoft co-pilot or Legora or a similar system at their place of work) and particularly useful since contracts by their very nature are typically confidential and may contain personal data.
The agent consists of a series of files of software that work together, providing context, process, an example and its own quality control process (to ensure that the Agent stays on track). Having learned the system, anyone could create an agent like this, which carries out the work unsupervised and could work overnight to (for instance) clear a backlog of agreements should it need to. I know some in-house lawyers who would be grateful of something like this.
Below you can see what it does (as described by itself), what the inputs are, what it creates and how it works. Others in my cohort created landing page creators, dashboards, apps and tools related to their various areas of work.
Over the next few days we’re covering best practice for quality control, creating continuous improvement loops, creation of multiple paralell agents, agent swarms, orchestration and self-governance, which will be fun.
If you’d like to see this in action and to see how I made it (so you can do the same) drop me a line and I’d be glad to share both with you. The first iteration of this was good but wouldn't produce alternative wording, but the second iteration was considerably better and so far has done a good job of contracts that I have given it.
Note - for any clients reading this, I haven’t used this tool for any client work and if I do in the future, will always disclose what I’m doing, will reflect that in the invoice, and will be fully responsible (as required by the SRA) for ensuring the end result is fit for purpose.
Unlike a purchased agent, or something like Openclaw - the agent only receives the information you give it, sits on your system (so if you have a secure in house solution it can sit on that) and of course - if you’ve set up the rules you can also make sure it follows your own company policies, signing policies etc.
If there’s enough interest I’ll run a workshop showing how you can do this for yourself and why you might want to. Let me know and I’ll get that set up.
In the meantime you can get started learning about and using AI, entirely free at this link
