Likelihood to Recommend Kortical is really widely applicable to many use cases, although it doesn't handle images or video it is great to help you build really great ML models without needing to plan ahead what you are going to try, you let the platform build you the best model. It is suited to beginner and more advanced data scientists as you can edit the code to narrow the search space which makes model creation more you build it without AutoML. Hosting the model behind an API that is ready to go is great as it saves so much time vs doing that dev work from scratch
Read full review Kira is a great due diligence tool and can be well utilised on both large and small transactions. It also has good application if you are looking to compare multiple documents against a model form document or market standard templates. Kira is less useful if you are looking to review emails (e.g. as part of a disclosure exercise); or if your review involves non-Latin based script languages.
Read full review Pros The NLP models results were much better than the ones that we did outside of the platform. It is really easy and quick to build a good model with a lot of the manual boring tasks all done automatically like one hot encoding, etc. Kortical shows the features and their importance for any model type as part of the platform which is great for understanding the models. Read full review UI/UX - tagging and naming feels much easier than you'd expect machine learning to feel Accuracy - Kira's built-in models perform well out of the box Assistance - Kira's support team gets back to me same day if I have a question Read full review Cons It would be ideal to have Jupyter built into the platform, they say it is coming. Also while it is easy to use, at the start it would have been helpful to have more help guides. Read full review Inability to relabel smart fields to suit the review process means it is hard to align it to particular projects (e.g. it would be useful to relabel the "Assignment" smart field as "Is the contract assignable?") Not enough non-English smart fields. Needs the ability to resell user-trained smart fields in a marketplace. Output is not customizable enough. Built-in analysis tools are useful but a little basic. Read full review Usability If our firm had more contracts in English, the usability of Kira would be rated higher. However, since we have to train clauses in Portuguese in order to use Kira, it makes its usability lower. We still are not able to fully use Kira for reading contracts in Portuguese. It takes a long time and many associate hours to make Kira usable in other languages.
Read full review Support Rating Their support is great as we use Slack and we have our own channel and they always respond really quickly. Data Science support is available to help unblock you as well as dev support as we're setting up the data feeds. It would be great if there were more FAQ or self-help guides in the platform but the personal touch is also really appreciated and probably gets us there quicker anyway.
Read full review Customer Support is excellent. The online help portal is probably the best I have ever seen. Great videos with content easily found. The HelpLine is staffed by knowledgeable people. The videos have saved us providing a lot of in-house training, which we would struggle to resource. The account managers really know the product and their law firm clients and share best practices and trends.
Read full review Alternatives Considered Kira offers a lot more out of the box than other providers and is also more flexible around integrations. This, plus the clear pricing structure, is why we went for it instead of (or as well as) others. Diligen, RAVN, Leverton, Della, Seal not in list.
Read full review Return on Investment ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in. The results mean that we can automate so much more than our previous model so that is key to the positive ROI. The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML. Read full review Positive ROI: Increased comfort level of attorneys and use of tech Neutral ROI: It has not significantly change how we handle projects, since there still is a need for manual review Negative ROI: It has been cost prohibitive to scale it Read full review ScreenShots