Thomson Reuters ships its first proprietary legal LLM

The model is the default for Tabular Analysis in CoCounsel Legal after about $40 million over two years. The final training run from an open-weight base cost about $450,000.

Cover image from SiliconANGLE’s report on Thomson Reuters’ proprietary legal model

On August 24 SiliconANGLE reported that Thomson Reuters has launched its first proprietary large language model. It is the default for Tabular Analysis in CoCounsel Legal, though the company is still running a multi-model stack.

What we know

Thomson spent about $40 million over two years; the final training run from an open-weight base cost about $450,000.
Joel Hron said the goal is the frontier of intelligence for legal work.
Customer data was not used for training; about 10% of the Thomson Reuters information base was.
A smaller open-weight version is planned for Hugging Face under a noncommercial academic license.

Takeaways

The first in-house model is a default for one CoCounsel feature, not a full replacement of the stack.
The last training run was cheap relative to the two-year budget.
A noncommercial Hugging Face release is part of the plan, with customer data kept out of training.

Source: SiliconANGLE

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Thomson Reuters ships its first proprietary legal LLM

The model is the default for Tabular Analysis in CoCounsel Legal after about $40 million over two years. The final training run from an open-weight base cost about $450,000.

What we know

Thomson spent about $40 million over two years; the final training run from an open-weight base cost about $450,000.
Joel Hron said the goal is the frontier of intelligence for legal work.
Customer data was not used for training; about 10% of the Thomson Reuters information base was.
A smaller open-weight version is planned for Hugging Face under a noncommercial academic license.

Takeaways

The first in-house model is a default for one CoCounsel feature, not a full replacement of the stack.
The last training run was cheap relative to the two-year budget.
A noncommercial Hugging Face release is part of the plan, with customer data kept out of training.

Source: SiliconANGLE