The recent digital trends that are going to empower UK’s Legal Industry
Digital breakthroughs have provided legal professionals around the world with an extraordinary competitive advantage, and it is no wonder that the conservative legal business is exploiting innovations that incorporate digital transformation into their daily work routines.
AI, RPA, and machine learning tools have surely impacted every industry, including the legal field. The legal industry is making a significant transition from traditional systems to a more digital way of working. This decade will see a transformation in modern legal processes, ranging from digital record management to automated information extraction.
Top Digital Trends that will redefine UK’s Legal Landscape
AI will take over elaborate and complex documentation
Legal research, due diligence, and IP portfolio content analysis, to mention a few are how AI will aid in simplifying complex legal tasks. AI will revolutionize the legal sector by assisting litigators in conducting due diligence and uncovering background information.
Litigators can use AI to complete time-consuming duties such as legal research and contract assessments. Legal research is one of the most time-consuming and necessary tasks for legal professionals.
This is a manual operation that is prone to errors, particularly when repetitive and time-sensitive. AI-powered machine learning algorithms can sift through a large number of documents and extract important information fast and accurately.
ChatBots to interact with Clients
Chatbots are AI-powered bots that provide users with information such as FAQs and queries. Chatbot interactions are built on a database of current information resources, allowing them to engage in basic conversations such as guidance.
Chatbots enable law firms to provide 24/7 client service on legal concerns. Legal chatbots save attorneys significant time that can be spent on more important responsibilities. Chatbots like ROSS may also check legal documents and make intelligent research recommendations.
Another legal chatbot, DoNotPay, assists tech-savvy individuals in the United Kingdom in disputing their parking penalties.
Cybersecurity for confidentiality and privacy
Client information security and confidentiality are critical prerequisites in the legal business, providing the foundation of an attorney-client relationship. Cybersecurity is described as the safeguarding of sensitive information via internet-connected systems that promotes the integrity, availability, and confidentiality of both public and private information, including rights of individuals and user privacy.
Cybersecurity methods protect private data and client privacy in a digital age by identifying sensitive systems.
1. Sorting critical information from junk information.
2. Restricting access to this sensitive information.
3. Encrypting this sensitive information.
4. Monitoring critical information is only accessible to authorized staff.
Automation over mundane tasks
Robotic Process Automation (RPA) is another disruptive technology that will affect the legal sector. Document automation is a nice example of an automation use case in which law firms can employ pre-formatted templates to construct completed forms based on data input.
OCR can quickly read and extract crucial data from contracts, saving legal professionals time and money. Certain procedures, such as handling meetings and cases, could be totally automated with RPA. For example, Wevorce, an AI-based legal technology startup, offers a self-guided online divorce solution that focuses on amicable divorce.
Predictive Analytics
Law firms can use legal data to predict the likelihood of winning cases and achieving favourable outcomes for their clients. Robust analytics aids in analyzing historical patterns in how certain cases have been decided by courts and specific judges.
Predictive analytics can help you determine how long it will take for a lawsuit to resolve and provide useful information about your opposing counsel.
Contract Review
Contract review can be a lengthy procedure, delaying transactions and hampering firms’ commercial goals. Human mistake is widespread, which is not surprising considering the importance of attention to detail and the length of contracts, which can reach hundreds of pages.
Companies are creating AI systems that can automatically swallow proposed contracts, examine them thoroughly using natural language processing (NLP) technology, and assess which parts of the contract are acceptable and which are problematic.
Conclusion
The technology is evolving so swiftly and is so new that everyone in the industry, including AI experts, is attempting to figure it out. The lawyer of the future will use technology to augment human expertise that even the most sophisticated AI models cannot mimic.
In the coming years, AI should be employed to assist the legal system rather than replace humans. A cautious and well-informed approach is required to ensure that the benefits of AI in the judicial system are realized while minimizing potential risks and negative consequences.
