UTILITY OF ALL FOR THE LEGAL SERVICES

Lawyers in large law firms appear to recognize that AI could make an important impact on legal services, but they may be only “somewhat interested” in actually using the technology
While AI has the potential to significantly impact the delivery of legal services, lawyers have been slow to adopt AI-based tools.
Attorneys who understand how to improve legal services delivery using emerging technologies like AI are and will be valuable assets for their firms.
Furthermore, the American Bar Association has found that over 50% of lawyers reported concerns about AI’s accuracy, reliability, and implementation cost.
“It seems like the conversation around AI has moved from tasks that replace people to tasks that supplement people,” but the International Legal Technology Association estimates that only about 20% of firms are actually using or testing AI solutions.

The lower-cost services enabled by the use of AI could even increase access to legal services.
some associate lawyers have found ways to adapt to the changing nature of legal services delivery
Ultimately, researchers at Deloitte, McKinsey, and elsewhere predict that automation technologies like AI could someday automate significant portions of legal jobs.

In patent prosecution, Specifio’s AI-based software automatically drafts a first-draft patent application from a user-provided set of claims.
Neota Logic’s PerfectNDA tool leverages the company’s AI platform to streamline the process of creating non-disclosure agreements.
WeVorce and Hello Divorce automate divorce-related processes via AI.
Allstate uses AI to automate claim summary generation.
In the UK, Keoghs has created multiple AI-powered systems that automate litigation for personal injury claims.
LegalMation uses AI to automate generation of various litigation-related documents such as pleadings and discovery requests
in e-billing, companies like Brightflag and CaseGlide leverage AI to automate legal bill review
CLOEM S.U.S.A. generates variants of input claims to help patent drafters properly define the scope of their invention.

Some offer litigation analytics tools that analyze precedent case data and other data to aid lawyers in predicting case outcomes.
The Supreme People’s Court in China created an AI-based tool called FaXin to help judges identify precedent.
A Canadian lawyer reported saving her “clients exorbitant amounts of costs and time” by using an AI-based tool call Alexsei that automatically creates a legal memorandum in response to an input legal research question.
Predictive analytics company CourtQuant has partnered with two litigation financing companies to help evaluate litigation funding opportunities using AI.
Many legal research companies have created brief-analysis tools that identify relevant cases not included in an uploaded brief.
Intellectual property lawyers can use AI-based software from companies like TrademarkNow and Anaqua to perform IP research, brand protection, and risk assessment.
A company called Intraspexion leverages deep learning, a type of AI, to predict and warn users of their litigation risks.
CLOEM S.U.S.A. generates variants of input claims to help patent drafters properly define the scope of their invention.

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