Law firms
Finding matter documents, comparing contract clauses and preparing first drafts.
JSLE · PRIVATE LLM DEPLOYMENT & MODEL ENGINEERING
Less time finding and comparing documents,
more time on professional judgement
Case files, contracts, due diligence materials and research take time to find, compare and organise. JSLE provides enterprise private LLM deployment and model engineering for law firms and other document-heavy teams with confidentiality requirements. We run the model inside your own environment and combine it with document search (RAG) so it can help find information, compare documents and prepare drafts within agreed access rules. Your professionals check sources and make the judgements; we build AI into the workflow.
Set upRun AI on your own equipment
TrainImprove answers with good examples
InvestigateExplore persistent model problems
SERVICE AREASWhat do you need
What do you need
AI to do?
Starting from scratch, struggling with poor answers, or facing a problem that keeps coming back? Tell us what is happening. We can help work out where to start; you do not need a technical plan first.
SERVICE 01
Run AI on your equipment
Private LLM deployment: we help choose, install and test a model on your own systems, then show your team how to use and maintain it.
- Check existing hardware
- Install and configure the model
- Assess business-system connections
- Test speed, access and recovery
Train AI for your work
Model post-training: when answers or formats keep going wrong, we assess whether training on good examples will help and check the results.
- Investigate poor answers
- Prepare good examples
- Choose a suitable training method
- Compare results before and after
Investigate difficult model problems
Advanced model engineering: when routine changes have not solved a problem, we study the model internally and test changes and side effects.
- Define the problem
- Investigate errors or false refusals
- Try changes in a test environment
- Check results and other capabilities
WHO IT SUITSWho gets the most
Who gets the most
from this approach
What these teams share is not an industry but a way of working: confidential material, document-heavy tasks, and conclusions that must be traceable to the source. If that sounds like your team, the same approach applies.
In-house legal teams
Contract review, compliance documents and internal policy questions.
Accounting, tax and audit firms
Workpapers, standards research and client file checks.
Management and strategy consultancies
Project research, interview notes and report drafting.
Private funds, investment research and brokerages
Due diligence materials, deal files and sector research.
Other document-heavy teams
Regulatory affairs, patent agencies, R&D documentation and similar confidential work.
HOW WE WORKDefine the objective
Define the objective
Then set the scope
Does the model miss company information, ignore your requested format, or keep getting a task wrong? Start with a few real examples. The answer may involve changing settings or documents, further training, or deeper research. We explain the work involved and check the changes against your actual tasks.
Show us the work
Tell us what AI should do and what documents and equipment you have. If you already use it, bring a few examples of poor answers.
Agree what we will do
Confirm the work, costs, your team’s involvement and how to judge the result.
Try it and check together
Use real tasks to check answers, speed and access. For an updated model, also check that other capabilities have not got worse.
DELIVERYBased in Shenzhen,
Based in Shenzhen,
delivered remotely
Overseas and cross-region projects are delivered remotely: we handle the software and configuration, while physical work is arranged by your team. Each split is confirmed in the project plan.
Your data stays in your environment
The model and your documents run in your own data centre, private cloud or nominated environment. We do not take any material away.
We implement remotely
Environment checks, model deployment, interface configuration, testing, acceptance and ongoing operations can all be completed remotely. Every project we currently deliver is implemented this way.
You arrange the physical work
Racking, cabling and delivering physical media are carried out by your IT team, or by a local supplier you appoint. We do not nominate or manage local suppliers.
Remote access on your terms
We connect through a VPN or jump host that you manage. Where remote access is not permitted, we can deliver offline on physical media; we have offline implementation experience.
What remote delivery needs
A technical contact who can carry out hands-on steps on site, plus a working remote channel or out-of-band management (for example IPMI or iDRAC).
Response time
We work in GMT+8 and reply within one business day. The support window and operations scope are written into the project plan.
Contract and invoicing
Contracts are signed with 深圳市集思乐科技有限公司 (Shenzhen Jisile Technology Co., Ltd.) and invoiced in CNY (renminbi). Payment terms are confirmed in the project plan.
If on-site attendance is required
Quoted and scheduled separately per project, including travel and visa lead time.
OUR WORKSee a completed
See a completed
company AI deployment
This case shows model setup, connections and testing inside a company network. Training and internal model changes need separate experiments with your model and data to establish their results.
ACCEPTED DEPLOYMENT CASE
View case →AI inside an offline company network
Two servers and 16 GPUs run the model without internet access. The work included system connections, basic functional tests and maintenance instructions. Client identifying details have been removed.
TYPICAL SOLUTIONNo equipment yet?
No equipment yet?
Explore a team setup
Want one team to start using AI for documents and questions? Explore an equipment plan, then test it with your actual work to check speed and how many people it can support.
COMMON SCALE · BLUEPRINT
View the plan →Team AI for documents and everyday tasks
Two DGX Spark systems run DeepSeek V4 Flash (0731) for a 20–50-person team, targeting around 10–15 people using it at once. Start with document search and analysis. These are planning targets that must be checked with real tasks.
START A CONVERSATIONTell us what you want
Tell us what you want
AI to help with
Where does your team spend too much time: finding case documents, comparing contract terms, or organising due diligence? Tell us about one task, where the documents are stored and how many people would use the system. You do not need to choose a model first, and there is no need to share client secrets or other confidential material in an initial enquiry.