Today, we're introducing industry-specific solutions on Gemini Enterprise, starting with Gemini Enterprise for Legal and Financial Services, with more industries to come. Gemini Enterprise for Legal is designed for law firms and in-house legal teams to help find and synthesize information, and navigate complex matters more efficiently. It has... four capabilities →show more

Purpose-built skills: Designed by domain experts, skills are reusable packages of instructions and context to automate workflows that support tasks such as contract review and redlining, playbook creation, regulatory horizon scanning, legal research and DSAR fulfillment.

Connections to trusted systems and data: Secure MCP connectors link agents to document management systems, case repositories, research services, and industry applications including Courtroom5, Docusign, Everlaw, Free Law Project’s database, Harvey, iManage, Legora, LexisNexis, NetDocuments, RelativityOne, Solve Intelligence and Thomson Reuters.

Legal agents: Pre-built AI agents from Google and leading legal software providers automate processes such as legal and policy research, regulatory screening, and contract drafting.

An open ecosystem of partners: Partnerships with global systems integrators — including @Accenture, @Deloitte, @Devoteam, Factor Law, @KPMG, @tribe_ai, @valtech, Zazmic, @Zencore__AI, and 66degrees— enable organizations to customize, integrate, and scale capabilities across complex enterprise architectures. Read more on our blog:

Can you make Gemini work first?

It's funny to see that Google was this behemoth of a company to only turn into a cringe boomer slop company

This is awesome and I'm excited for my legal clients - but you guys have to fix the underlying model issues in Gemini Enterprise too please. I want to recommend Gemini but it's hard when things don't work as expected.

@Jesse_Livermore I wouldn’t trust Gemini to pick a restaurant for dinner

@sundarpichai @grok when did Claude do this same thing?

Awaiting for Healthcare too!

I wouldn't even trust Gemini for dinner recommendation let alone legal and finance lol 🤣🤣

Law firms and in-house teams is the obvious starting point. The bigger gap is the companies with neither: no firm on retainer, no counsel, still signing 40 contracts a quarter. For them the agent has to do the work, not just find and synthesise it.

Please improve the ui sir, more like agentic and color scheme, else very distrubing to read so much spaces 🙏🏻

How about Science?

Shame you nerfed 3.7 Flash in GE. It can't even export a docx! Ffs

Industry focused AI solutions could transform complex professional workflows

Why is Gemini not capable of creating a google doc for me? Is it restricted by account? Or by skill?

A small step for Google, a big step for legal AI

I think the important part is the workflow angle, legal teams get review, drafting, monitoring, and citation checks inside a private environment. We actually covered that here:

Legal teams getting Gemini built for them this is huge

Now legal decesions can also done by AI?

Legal and financial are the two industries where hallucinations cost the most. Curious how they're handling liability when Gemini gets a citation wrong.

Gemini Enterprise for Legal and Finance is a huge win for efficiency and accuracy 🚀

perfect

Kudos to Google team. This is a great progress on providing power of Foundational models intelligence to enterprises in Legal or Financial services areas. We do lots of work in these areas, We at V10XAI Consulting Services feel there are some concerns to be addressed, those may be as follows. 1.Sensitive data is still processed by Google's hosted inference models. 2. AI agents necessarily access enterprise content to perform work. 3.Third-party connectors and agents expand the attack surface. 4.Some operational details around retention, telemetry, and inference isolation are not described publicly. Bottom line: Google has addressed the major concern of using customer data to train models, but it has not eliminated data exposure during inference. Enterprise documents still flow to Gemini's inference environment so the model and agents can reason over them. The security model therefore depends on robust isolation, encryption, access controls, contractual commitments, and governance—not on data never leaving your systems. @sundarpichai @GeminiApp @Google @GoogleAI

Ask Gemini on Chrome is epic

@sundarpichai Google is best placed in the AI era for the enterprise. @ThomasOrTK . Congrats!

Smart move. Tailoring Gemini for Legal and Finance first is exactly where it’ll have the biggest impact.

Tailored workflows for legal and financial teams could make complex research and synthesis much more efficient, especially with secure enterprise data integration

Nice 👍

مابه ماني لا افهم مافعلت انت له هدا ماني نعم سنغال مافعلت لاشيء انت بعقالك

EPC next!

Gemini for Legal and Finance finally feels tailored not generic

Legal and financial sectors have so much paperwork that this could really streamline daily document review.

Legal teams finally getting AI that actually understands context

Industry-specific agents is a lot of words for “we’ll sell you a seat.” I’ll wait till I can run it.