法律 AI // 资讯总览
需要被持续追踪的
法律 AI 信号。
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
法律 AI // 资讯总览
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
原题: OpenAI Decisions – Cheaper Bulk Review For Lawyers
反映国内外法律 AI 行业发展、前沿技术演进与学术治理动态。
OpenAI于2026年10月8日推出Decision系统,与Jev等产品竞争。该系统采用较轻量的人工智能排序方式,重点处理大规模文本、图像或文本与图像混合内容的分类、分流和优先级排序。其Decision API目前处于公开测试阶段,基于GPT-6-Luna,仅收取输入代币费用,价格为每100万代币0.10美元,不收取缓存读写或输出代币费用;OpenAI称其返回结果的速度约为Responses API的10倍。该系统适合尽职调查初筛、电子取证和大规模合规审查等批量任务,但不适合复杂合同审查、细微语义理解或需要深入法律推理的工作。
展示来源全文,完整内容以原文页面为准。
OpenAI Decisions – Cheaper Bulk Review For Lawyers
8th October 2026
artificiallawyer
OpenAI
0
OpenAI has launched Decisions, its own decision system which will compete with the likes of Jev (see here). It could potentially reduce AI costs for bulk doc review and provide other benefits to lawyers.
First, what is Decisions? The short version is that it’s a ‘sorting system’ that uses AI, but in a much more limited way compared to tapping the full resources of an LLM. You can call it ‘AI lite’ perhaps.
Why would lawyers want to use this? The first reason is cost – see tables below. Because these decision approaches are not digging that deeply into the LLMs they use, the token costs are much lower. For example, for now with Decisions (which relies on GPT-6-Luna) the input costs are $0.10 per 1M tokens. You pay only for input tokens: there are no cache-read, cache-write, or output-token charges. That is a big reduction in price.
AL table via ChatGPT.
All well and good, but what can it do? It’s best at simple classification and really is not for complex language understanding or legal reasoning. So, you could feed in 10,000 documents and get it to sort them via a range of categories. It also handles images very well – but that’s less useful to lawyers.
As OpenAI explained: ‘The Decisions API [which is in public beta] evaluates text, images, or both and returns typed answers about 10x faster than the Responses API.
‘Get the probability that a condition is true, a choice from a fixed set, or a score against a rubric. Use those answers to classify content, route requests, and prioritize work in your application. Both choice and score return probabilities over discrete options.’
In short: look for X, Y, Z – are those things there? – mark them as such based on the probability they are those things.
OpenAI table.
So, this could work well for first-pass review in a due diligence project, or for eDiscovery, or large-scale compliance reviews. Basically anything where lawyers want to get into a large set of documents, and after that they can drill down in more detail using more traditional LLM-based approaches.
What it won’t be good for is things like complex contract review, or any other demand where there needs to be both subtle language understanding and sophisticated outputs. Instead, this approach very much has ‘volume’ written all over it.
AL asked OpenAI’s ChatGPT to build some tables showing what Decisions can do and how it compares to Jev.
This and following tables by AL, via ChatGPT.
Conclusion
The cost savings for use cases such as first-pass review are very significant, thus most large commercial law firms will want to have look at this.
As noted, this is not an alternative to using the main models in the usual way, or the legal AI tools that tap the full capabilities of those models, when it comes to more subtle and sophisticated work. But, if you have a bulk document project then this could be a useful approach that saves a lot of money.
More about OpenAI Decisions here.
And here’s a short video by OpenAI as well.
—
Legal Innovators UK on Nov 4 and 5 in London, has now opened for Express Registration so you can get your tickets super-fast!
If you qualify you can very quickly receive your tickets for the landmark innovation event – follow the links below. Also, our Legal Innovators New York event is now doing the same. We look forward to seeing you on either side of the Atlantic to explore the cutting edge of the latest legal AI developments, what it all means, and the very latest products too!
Legal Innovators UK – Nov 4 and 5 / Legal Innovators New York – Nov 17 and 18
For London – Nov 4 and 5, at the Minster Building, see here:
And, for New York – Nov 17 and 18 – Midtown, please see here:
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文书与研报规范引注
《OpenAI推出低成本批量文档审查系统》(来源: Artificial Lawyer,发布日期: 2026/10/08,访问链接: https://www.artificiallawyer.com/2026/10/08/openai-decisions-cheaper-bulk-review-for-lawyers/)