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How LLMs Can Boost Legal Productivity (with Accuracy and Privacy)
How LLMs Can Boost Legal Productivity (with Accuracy and Privacy)
Generative AI is significantly advancing modern legal technology, and we see two primary groups using it to build new solutions. The first, unsurprisingly, is the legal tech market, which is estimated to exceed $45 billion by 2030. Legal tech firms can give solo lawyers and small firms the technological leverage they need to compete against their larger counterparts. The second user group is large legal firms. They have the resources needed to deploy generative AI solutions themselves.
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How LLMs Can Boost Legal Productivity (with Accuracy and Privacy)
Anil, C., Durmus, E., Sharma, M., Benton, J., Kundu, S., Batson, J., ... & Duvenaud, D. (2024). Many-shot Jailbreaking.
Anil, C., Durmus, E., Sharma, M., Benton, J., Kundu, S., Batson, J., ... & Duvenaud, D. (2024). Many-shot Jailbreaking.

Long contexts represent a new front in the struggle to control LLMs. We explored a family of attacks that are newly feasible due to longer context lengths, as well as candidate mitigations. We found that the effectiveness of attacks, and of in-context learning more generally, could be characterized by simple power laws. This provides a richer source of feedback for mitigating long-context attacks than the standard approach of measuring frequency of success

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Anil, C., Durmus, E., Sharma, M., Benton, J., Kundu, S., Batson, J., ... & Duvenaud, D. (2024). Many-shot Jailbreaking.
Nay, J. J., Karamardian, D., Lawsky, S. B., Tao, W., Bhat, M., Jain, R., ... & Kasai, J. (2024). Large language models as tax attorneys: a case study in legal capabilities emergence. Philosophical Transactions of the Royal Society A, 382(2270), 20230159.
Nay, J. J., Karamardian, D., Lawsky, S. B., Tao, W., Bhat, M., Jain, R., ... & Kasai, J. (2024). Large language models as tax attorneys: a case study in legal capabilities emergence. Philosophical Transactions of the Royal Society A, 382(2270), 20230159.
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Nay, J. J., Karamardian, D., Lawsky, S. B., Tao, W., Bhat, M., Jain, R., ... & Kasai, J. (2024). Large language models as tax attorneys: a case study in legal capabilities emergence. Philosophical Transactions of the Royal Society A, 382(2270), 20230159.