Thanks for the callout. The fact that AI is not 100% accurate may actually serve as a feature, not a bug, as it forces people to engage with the primary materials and check things. Indeed, I wonder whether we'll see over the next year the process shift from "AI creates" to "AI checks"

Agreed. Like a sense checker not a creator

SPEED READ: Agentic AI is very cool and impressive. It's going to intimidate people that value control, e.g. LAWYERS. But you can build products around that. I worry about people jumping straight to agentic AI instead of fixing underlying bad processes. Beware of people replacing our brains.

Most are still at the stage of tinkering with AI and understanding it. I’m a bit confused on what law firms are investigating AI rather than sorting out their data. I’d probably leave building the profits to tech companies

Link is broken! Aside from law firms spinning up chatgpt clones and buying co counsel/harvey I’m not seeing a lot of embedding these tools. For example, I have not yet spoken to a lawyer who has used a generative AI tool in a big law firm and I speak to lots of them every week

Knowledge management. I hope I have demonstrated that capturing knowledge is not as simple as just making one person’s work product visible to another. The context needs capturing, the quality needs vetting, the information needs sorting. Some of this can be done by a machine, some of it cannot.

Manual processes. I list a number of manual processes in this article that lawyers simply don’t do as well as a machine. Some of these are candidates for generative AI (e.g. checking whether a document makes sense); some are not (e.g. contract automation)

Collaboration. The ability to semantically compare two documents will help clients and lawyers get up to speed more quickly with e.g. what the other side has suggested in negotiations

Negotiations. Rather than have humans cross-refer to playbooks or ask lots of questions while reviewing contracts, some tools are already automatically aligning a contract with pre-defined playbooks, using generative AI.

Setting up templates. I still think a template is nearly always a better starting point than asking an LLM to spin you up a first draft. However, I think AI can be used to get you up and running with a template quicker. After that point though, I think generative AI falls out of the picture