Baker McKenzie continues to grow the reach and impact of its Machine Learning Practice (BakerML), announcing a new partnership with ADAPT (Advancing Diversity Across Patent Teams), a consortium of leading technology companies that are collaborating to improve inclusion, diversity and equity in patent practice.
The BakerML team will work closely with Google, Meta, Amazon, Microsoft, Disney and other ADAPT founding members to scale efforts to make the patent process more inclusive and accessible.
The partnership will see Baker McKenzie lawyers and data science professionals collaborating with ADAPT members' legal and technology teams to produce data assets, insights and predictive models in order to map and measure the impact of industry inclusion, diversity and equity (ID&E) efforts right across the patent landscape.
This is because patent law is currently one of the least diverse practices in legal services. In the US, for example, according to a publication by the American Bar Association, women make up just 22% of USPTO registered attorneys and agents, and less than 6% of all USPTO registrants are racially diverse.
The new partnership was launched by BakerML Founder and Director Danielle Benecke and Steve Gong, Head of Data Science, PMO and Operations, Google Patents, at the Innovator Diversity Pilots Conference, hosted by Santa Clara's High Tech Law Institute and co-organized by the United States Patent & Trademark Office.
Commenting on the new partnership, Danielle Benecke said: "An important part of Baker McKenzie's vision in bringing machine learning into our firm is to scale our social impact efforts. Following the success of BakerML's first pro bono project, an AI-driven study on child detention, we are thrilled to join forces with ADAPT and again combine our legal expertise with data science to analyze and find solutions to complex social challenges."
According to the ADAPT Founders: “We have a duty as a profession to meaningfully represent experiences and viewpoints as diverse as the society in which we live. This is especially true for IP professionals who are at the forefront of working with innovators and inventors. One aim of ADAPT is to leverage technology to scale our collective impact, to power accessibility of information and form meaningful connections for the entire professional pipeline. We are also bringing the entire industry together and we are very excited with the partnership with Baker McKenzie to advance diversity across the profession.”
BakerML is an industry-leading venture that combines Baker McKenzie's legal domain expertise with advanced data science and machine learning to deliver AI-powered legal services, internal transformation and social impact at scale. Launched in partnership with AI-powered problem solving platform SparkBeyond, BakerML received the AI Innovation Award at the 2022 Legal Innovation Awards.
Previously the BakerML team worked on Reinvent Social Impact: Child Detention, an AI-driven study on the unintended negative consequences of child detention that was generated by BakerML's AI platform. In its research for Project Liberty, Baker McKenzie leveraged their engine to mine the entirety of web data about global child detention, revealing a complex and troubling view of cause and consequence.
The BakerML team will work closely with Google, Meta, Amazon, Microsoft, Disney and other ADAPT founding members to scale efforts to make the patent process more inclusive and accessible.
The partnership will see Baker McKenzie lawyers and data science professionals collaborating with ADAPT members' legal and technology teams to produce data assets, insights and predictive models in order to map and measure the impact of industry inclusion, diversity and equity (ID&E) efforts right across the patent landscape.
This is because patent law is currently one of the least diverse practices in legal services. In the US, for example, according to a publication by the American Bar Association, women make up just 22% of USPTO registered attorneys and agents, and less than 6% of all USPTO registrants are racially diverse.
The new partnership was launched by BakerML Founder and Director Danielle Benecke and Steve Gong, Head of Data Science, PMO and Operations, Google Patents, at the Innovator Diversity Pilots Conference, hosted by Santa Clara's High Tech Law Institute and co-organized by the United States Patent & Trademark Office.
Commenting on the new partnership, Danielle Benecke said: "An important part of Baker McKenzie's vision in bringing machine learning into our firm is to scale our social impact efforts. Following the success of BakerML's first pro bono project, an AI-driven study on child detention, we are thrilled to join forces with ADAPT and again combine our legal expertise with data science to analyze and find solutions to complex social challenges."
According to the ADAPT Founders: “We have a duty as a profession to meaningfully represent experiences and viewpoints as diverse as the society in which we live. This is especially true for IP professionals who are at the forefront of working with innovators and inventors. One aim of ADAPT is to leverage technology to scale our collective impact, to power accessibility of information and form meaningful connections for the entire professional pipeline. We are also bringing the entire industry together and we are very excited with the partnership with Baker McKenzie to advance diversity across the profession.”
BakerML is an industry-leading venture that combines Baker McKenzie's legal domain expertise with advanced data science and machine learning to deliver AI-powered legal services, internal transformation and social impact at scale. Launched in partnership with AI-powered problem solving platform SparkBeyond, BakerML received the AI Innovation Award at the 2022 Legal Innovation Awards.
Previously the BakerML team worked on Reinvent Social Impact: Child Detention, an AI-driven study on the unintended negative consequences of child detention that was generated by BakerML's AI platform. In its research for Project Liberty, Baker McKenzie leveraged their engine to mine the entirety of web data about global child detention, revealing a complex and troubling view of cause and consequence.
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