In earlier posts I've argued that lawyers are not yet adopting (in material percentages at least) the AI - based tools that can supplement attorneys» traditional, people - intensive — «manual» — ways of reviewing
documents for litigation
discovery,
automating aspects of due diligence in deals, performing contract management of thousands of a company's agreements, or conducting legal research (see here and here).
Whether needed technologies are centered on machine learning / artificial intelligence, matter management, eBilling,
document management, contract lifecycle management, records, IP docketing,
automated workflow, contract
discovery, legal holds, eDiscovery, entity / board management, deal rooms, etc., we have the skills and expertise to help you build the business case, define, select, plan and deploy the solution (s), and identify and institute changes in process and governance needed to optimize your investment.
Other examples of potential machine learning applications include: the
discovery and identification of «non-obvious relationships» within large
document collections extracting «subtle but useful patterns that can be employed to
automate certain complex tasks»; analysing contracts for both structural aspects and potential correlations **; using
automated document clustering techniques to assist in finding «prior art» in patent law cases to determine whether a patent application is new or not.