Simple Legal
APRIL 19, 2023
Gartner predicted that spending on legal software would triple from 2021 to 2025, and venture capital investments in these tools reached a new high of over $1 billion in 2022. Through machine learning, the AI develops an understanding of what’s normal in your data sets and what isn’t.
Lawmatics
FEBRUARY 6, 2024
Legal tech tools, such as AI and machine learning, help analyze large amounts of information and support legal professionals in decision-making. The industry is experiencing momentous growth and innovation, and experts forecast that in-house legal departments will earmark 12 percent of their budgets for legal tech by 2025.
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Lawmatics
DECEMBER 27, 2023
With emerging new technologies like artificial intelligence (AI) and machine learning, many people have started considering what legal software might mean for the legal profession’s future. 5 Generative AI Generative AI is a tool that is still in its infancy, and consequently, the more we learn, the more there is to understand.
lawtomated
MARCH 30, 2022
This increase of 49.89% since 2017 demonstrates a rapid global growth in smartphone owners, and the World Advertising Research Centre believes that 72% of all internet users will solely use smartphones to access the internet by 2025.
Simple Legal
FEBRUARY 15, 2023
By 2025, a whopping 100% of all contract life cycle management (CLM) tools will rely on AI to help with scanning content in contracts. This new feature uses machine learning and natural language processing to easily identify common billing errors. How important is AI, anyway? Quick answer: important. But let’s get into why.
Debevoise Data Blog
OCTOBER 31, 2023
On 26 October 2023, the Bank of England, Prudential Regulation Authority (“PRA”) and Financial Conduct Authority (“FCA”, collectively the “UK Financial Authorities”) published FS2/23 on Artificial Intelligence and Machine Learning (the “Response Paper”). The cover art used in this blog post was generated by DALL-E.
Above the Law - Technology
DECEMBER 4, 2023
Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. We anticipate achieving >$5M in SaaS revenue in 2025$ and over $12M in SaaS revenue in 2026.
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