For employment teams
AI for the bundle and the contracts behind it
A private platform for employment teams that builds tribunal chronologies, reviews contracts and policies at scale, and compares settlement terms. Deployed in your own cloud and owned by your firm.
Built by the team behind AI delivery for
The shift
More claims, longer cases, the same hours in the file
Employment tribunal single-claim receipts have risen by roughly 60% since 2022 to 2023, and the caseload waiting to be heard keeps climbing while disposals lag behind (GOV.UK). More matters, running for longer, all resting on the same document work.
The bundle, the contracts, the handbook, and the correspondence are where the hours go. When an agent assembles the chronology and pulls the key terms together, the team spends its time on strategy and advice, with every point traceable to source.
Where AI moves the needle first
Built for the work employment teams actually do
These are where most employment teams start. CompleteFlow is a platform your team configures and extends, so the list grows as your practice finds its own highest-value work.
Tribunal bundle chronology
The agent reads the bundle and builds a clear timeline of events, each entry linked to its source, flagging where the correspondence, contracts, and witness statements contradict one another.
Contract, handbook and policy review at scale
Pull the same terms from every employment contract and policy into one reviewable grid, restrictive covenants, notice periods, bonus and commission terms, and flag anything off your precedent for a lawyer to check.
Settlement agreement comparison
Compare a draft settlement against your precedent and prior agreements and surface the differences, each linked to source, so the adviser sees exactly what has changed and why.
Cross-document questions from the file
Ask a question across the whole matter, what was said, when, and by whom, and get an answer with a citation to the exact document and passage behind every line.
Chronology
Build the timeline from the bundle
The agent reads the bundle and builds a clear timeline of events, each linked to its source. It reasons across the contracts, correspondence, and witness statements to find where they contradict one another, surfacing inconsistencies that a manual read could take days to catch.
- 09 Jan 2024
Written warning issued for timekeeping
HR_File.pdf p.12 - 22 Feb 2024
Grievance raised alleging discrimination
Grievance.pdf p.1 - 05 Mar 2024
Manager email states the dismissal decision was already made
Email_Ops.pdf p.3 conflicts with Dismissal_Letter.pdf p.2 - 18 Mar 2024
Dismissal letter cites redundancy as the sole reason
Dismissal_Letter.pdf p.2
Contract and policy review
Every contract and policy in one grid
Best in class extraction reads a whole set of employment contracts and policies and pulls the same key terms from each into one reviewable grid. Non-standard terms, an unusual restrictive covenant, an inconsistent notice period, are flagged for a lawyer to check, with every value linked to source.
| Contract | Notice | Non-compete | Bonus |
|---|---|---|---|
| Senior Engineer, London | 3 months | 6 months | Discretionary |
| Sales Director, Leeds | 6 months | 12 months | Commission planNon-standard |
| Analyst, Manchester | 1 month | None | Discretionary |
| VP Product, London | 3 months | 6 months | LTIP |
| Ops Manager, Bristol | 3 months | 6 months | Discretionary |
Why CompleteFlow
A platform you own, not a one-off build
CompleteFlow is a platform deployed in your own cloud that your team configures and extends: chronology, contract and policy review, and settlement comparison across every matter, customised to your precedents and house style.
You choose any frontier model and switch as the field moves, your data stays isolated with zero training and zero retention, and you own what we build. The result is an edge that compounds, not a project that ends.
Private by architecture
Built for confidentiality and the SRA Code of Conduct
CompleteFlow runs as a single-tenant instance in your own infrastructure, with frontier models accessed under zero training and zero retention agreements. The platform is designed with the SRA Principles in mind:
- ✓ Client confidentiality maintained: personnel and matter data stays within your deployment environment and is never used to train models
- ✓ Information barriers respected: agents sign in as each user and see only what that person is permitted to see
- ✓ Competence supported: every point links to source, so lawyers can verify and take responsibility
- ✓ Supervision built in: human-in-the-loop review before anything leaves the firm
Read more on the security and compliance page or the trust centre.
Frequently asked questions
Can it build a reliable tribunal chronology? +
The agent reads the bundle and builds a timeline of events, each entry linked to its source, and flags where documents contradict one another. The lawyer reviews the original passage in context and decides what the record shows. The agent assembles and cross-checks, it does not make the call.
Does it handle non-standard contracts and policies? +
Yes. The agent pulls the same terms from every contract and policy into one grid and flags anything off your precedent for a lawyer to check. Every value links back to the exact clause, so the review starts from a structured, verifiable view.
Is employee and personnel data kept private? +
CompleteFlow runs as a single-tenant instance in your own cloud. Personnel and matter data stays within your environment with zero training and zero retention on the frontier models, and agents respect the access controls in your document management system.
Which systems does it connect to? +
Agents connect to iManage, NetDocuments, Microsoft 365, and your practice and HR systems through the Model Context Protocol, with your existing permission model respected.
See what AI built around your employment practice looks like
Book a confidential 30-minute discussion. We will map the highest-value opportunities across your matters and outline a path to production.
Book a strategy session