Optimise premiums and risks by granular understanding of the individuals and their propensity to claim.

Determine whether a transaction should be blocked because it involves some kind of fraud (e.g. credit card, identity, etc.). Detect suspicious customer activity comparing to their normal behaviours and also to behavioural norms in their customer segment.

Determining threshold level at which to flag compliance risks with the aim to minimise both 'false positives' and 'false negatives' both of which carry a cost

Monitor and analyse interactions with customers to flag compliance risks. This could include phone, messaging and email interactions, as well potentially as on 3rd party platforms (such as social media).

Detect potential insider trading through monitoring data flows (e.g. social media, market activity) from company insiders or close contacts.

Automated checking for GDPR compliance is a significant issue as the regulation rolls out across Europe. Minimising compliance risk and data loss whilst not investing expensive resources in checking all instances requires automated tools.

Determine whether there are patterns of activity that suggest money laundering and compliance risks. Investment in Anti Money Laundering (AML) increasingly a regulatory focus (and cost) for banks operating in international systems.

To ensure legal compliance with variosu age restrictions technology can abe used to analyse facial features and determine or predict a person's age. This can help retailers automate the selling of age-restricted items, such as alcohol or tobacco.

Determine whether there is attempted and likely cyber breaches that could impact sensitive data and company operations. Also follow compliance reporting regulations for breaches.

Automate categorising documents for disclosure, for example as privileged/non-privileged, flagging them as necessary inclusions, etc.

Codifying legal expertise so that it is more widely available and understandable - potentially deployed through the medium of a text chatbot. Examples might be quick advice on potential bribery and corruption (e.g. what gifts are acceptable), employment law questions or generating NDAs.

Predict the outcomes of legal disputes and proceedings based on analysis of past case records. This can be used to drive likelihood of pre-trial settlement or, indeed, case commencement decisions.
Predict the outcomes of legal disputes and proceedings based on analysis of past case records.

Using AI techniques to automatically redact text in documents - this can potentially save considerable time otherwise requiring legal staff

Ensure that a contract does not contain hidden obligations, liabilities or other legal exposure. And also ensure compliance with increasingly complex and every changing regulations, such as IFRS.

Electronic discovery (also called e-discovery or ediscovery) is when data is sought, located, secured, and searched on a digital device or source with the intent of using it as evidence in a civil or criminal legal case. AI support can enhance this process.

Automate contract reviewing spotting errors, omissions and risks.

AI tools guide lawyers in analysing large IP portfolios and drawing insights from the content especially to protect against infringement. The acceleration of patent searches enables legal focus on the critical issues.

Legal research is the process of finding an answer to a legal question or checking for legal precedent that can be cited in a case or during a trial. Legal research can help identify if a legal issue is a "case of first impression" that lacks legal precedent.

Help manage tracking, management, and billing of time. This is a key driver of business operations at many professional service firms, especially legal organisations.

Analyse legal documents and prepare first draft response. This will be most deployable in circumstances of repetitive and small scale legal challenges around a constant theme.

Analyse legal documents and extract important data points and clauses - potentially to inform further workflows or simply to focus legal experts on the most relevant areas of work.