22 February 2024
Legal
Legal
More agile processes, greater accuracy in results, new opportunities.
The legal sector has been facing a series of changes, ranging from regulatory changes, to the globalisation of markets and increased competition, as well as greater demand from customers in terms of cost and quality of service. In addition, law firms and legal departments store huge volumes of data from a wide variety of sources.
By transforming this data into decisive insights, lawyers, legal experts and solicitors can carry out effective predictive analyses to anticipate legal decisions or estimate the time it takes to resolve cases. This enables the development of more effective legal and procedural strategies tailored to the specific needs of each case.
Adopting technologies such as Data Analytics and Artificial Intelligence not only enables data to be transformed into strategic information, but also increases the efficiency, productivity and quality of legal services in response to dynamic demand and current challenges.
A recent survey reported that 82% of law firms believe that generative AI can be easily applied to legal work, and 51% said that generative AI should be applied to legal work. (Thomson Reuters Institute)
What we do
Automate routine tasks such as document review, information classification and legal research, allowing you to focus on more strategic activities.
Improve the organisation, search and retrieval of documents, reducing the time spent locating relevant information.
With an AI solution you can review large volumes of documents, identifying patterns and inconsistencies with greater precision than with manual methods, significantly reducing the risk of human error.
Identify patterns in large data sets, enabling deeper understanding of trends and changes in the legal landscape
Benefits
360º View
Extract and aggregate data from previous cases and court rulings to explore information from different perspectives and predict results with greater accuracy.
Increased productivity
Automating the most labour-intensive and repetitive tasks increases productivity and frees up lawyers for tasks that require analytical thinking.
Precise analysis of proceedings
Machine learning allows you to understand the plaintiff's profile, the characteristics of the case and the way the courts operate so you can evaluate the opportunities and risks of litigation.
Information integration
Integrate and cross-reference financial and operational data, including: risk management, practices and document management, case management and workflow, Marketing and CRM, Human Resources, among others.
Customer service
Maintain accurate customer communication to increase revenue and efficiency, while developing a detailed understanding of the customer to deliver an excellent and targeted service.
Case monitoring
Provide users with access to case and issue management analysis and monitoring to improve decision making at multiple levels.
Optimised workflows
Enjoy more agile and optimised workflows increasing productivity and reducing the margin for error. Using Machine Learning it is possible to identify types of clients, processes and court modus operandi.
Clients
