Criminal Law
Criminal Law has used predictive crime mapping algorithms to reduce crime rates. Some courts have turned to AI to manage parole, using risk assessment algorithms to determine if a defendant is too high risk to be granted parole.
Civil Litigation
Civil Litigation cases such as contract disputes or force majeure claims require hours of due diligence. AI can help take away manual hours dedicated to analyzing and reviewing contracts.
Corporate Functions
Corporate functions like mergers, acquisitions, and compliance make AI indispensable for doing the due diligence process. Tax law is another data-heavy and complicated field, and AI promises a lot of potential in detecting fraud and tax avoidance.
Real-Time Transcription and Summaries & Court Support
AI-powered transcription services can automatically convert spoken courtroom proceedings into written transcripts in real time. This capability helps lawyers and judges keep track of the proceedings, review testimony, and refer to specific statements during cross-examination or closing arguments. AI can also generate summarised versions of the proceedings, saving time and facilitating quick reference.
Language Translation
Natural Language Processing and Large Language Models have greatly improved the automated translation capabilities of AI. This can be used to aid in the translation and localisation of legal documents, assist in converting contracts and legal texts from one language to another, ensuring accuracy and consistency in the translated versions. This can also be utilised in automated translation during court hearings.
Drafting Documents, Generating Templates & Contracts
AI can automate the process of document generation by leveraging large language models and machine learning techniques. By analyzing inputs, prompts, or user preferences, AI can generate draft documents, including contracts, agreements, and legal forms. These drafts can serve as a starting point, saving time and effort for lawyers who can then review and customise them further.
Other AI Use Cases of Large Language Models in Law and Legal Services
Capture Voice to Text, Summaries, Detect Tone, Sentiment, and Keywords/Themes Document Management and Automation Predictive Modeling for Case Outcomes Compliance and Monitoring Support Contact Centre Agents or Inexperienced Employees LLM for Law and Legal Services
E-Discovery
AI can be utilized to scan electronic information to obtain non-privileged information relevant to a case or claim. Quickly sift through large volumes of documents, emails, and other digital records to find evidence, scan documents using search terms or specific parameters, such as dates or geographic location, significantly reducing the time and costs associated with manual review. Lawyers will get significantly faster responses and results compared to scanning hard copies.
Accurate Legal Research
AI technologies are pivotal in AI use cases for legal service, assisting legal professionals by enabling the rapid analysis of vast amounts of legal documents and court cases. These tools help lawyers quickly scan and search large databases of regulations, statutes, practice areas, jurisdictions, and case laws efficiently. With AI, lawyers can gather data accurately in a significantly shorter amount of time, aiding in a deeper understanding of precedents. This capability to conduct more comprehensive research at faster speeds not only saves lawyers time but also reduces costs for clients.
Accelerate Due Diligence & Contract Analysis
AI enables automated document review and due diligence processes. Natural Language Processing (NLP) algorithms and Large language Model can swiftly analyze and categorize contracts, agreements, and other legal documents, identifying potential risks, anomalies, or key provisions. This automation expedites the review process and improves accuracy, allowing legal professionals to focus on higher-level analysis.
Litigation Analysis & Prediction
Determining the viability of litigation or quantifying the value of a lawsuit requires extensive analysis of precedent-setting cases. AI can analyze large volumes of historical case data, including court decisions, judge behavior, and case facts. By identifying patterns and correlations, AI systems can provide lawyers with insights into the strengths and weaknesses of their arguments, allowing them to make more informed decisions regarding litigation strategy. Lawyer AI can quickly review those precedents and help lawyers draft more accurate and appropriate documents based on that data. This also helps predict the results of imminent cases by taking into account the factual pattern of the case as well as the bulk of relevant paradigms.
