Legal research with citations
Research judgments from the Supreme Court to tribunals, with UK and devolved legislation, and a pinpoint citation for every statement.
Legal AI for UK law firms
Take on more matters.
Keep the partner standard.
Gotham helps UK law firms research case law and legislation, review agreements across a data room and draft in Word, in one workspace. Every answer cites the passage it relies on, so trainees and associates move faster and partners can check the work.
Primary valueMore matter capacity and consistent work product
Control pointA qualified lawyer stays responsible for the work
Data locationStored in the United Kingdom
The buying problem
Faster drafts are not the goal on their own. Work product has to pass partner review, cite real authority, protect privilege and client confidentiality, and fit the firm's own drafting and approval steps. The High Court has warned lawyers about citing authorities that do not exist.
The business case also differs by practice. Saved time can mean faster turnaround, better margins on fixed fees, or more capacity, but it only counts once the firm can use that time well. Measure each workflow on its own instead of trusting a single productivity number.
Where Gotham can enter the work
Contract review and mark-ups
Review agreements against your playbook and mark them up with tracked changes in Word.
Due diligence across a data room
Put a full data room in one grid, with each cell linked to the clause it came from.
Litigation chronologies
Build a chronology from the record, with each event linked to the page it came from.
Drafting
Draft advice notes, letters and board papers in your firm's style, and export them as Word files.
Firm controls
Give each person a role, keep matters separate, apply information barriers and run the same workflow on every matter.
What to require in evaluation
Correction time
Measure how long partners and associates spend fixing the output, not only how fast it appears.
Citation checks
Require real sources, paragraph citations and a check that each case has not been overruled or doubted.
Regulatory duties
Check the tool against your SRA duties on competence, confidentiality and supervision, and your firm's AI policy.
Client terms
Confirm you can meet client limits on AI use, data location, retention and subprocessors.
Access and information barriers
Test who can see each matter, precedent and playbook, and how barriers work across teams.
Daily tools
Try it in Word, your document system and your export formats on real work.
Align the buying committee before the pilot
Questions to resolve
- Which partner owns quality and decides when to expand?
- Which client terms limit AI use, data location or subprocessors?
- How will risk, the COLP, IT, security and knowledge management sign off?
- What will finance accept as real value, not estimated hours?
Rollout controls
- Start with trained reviewers and a few matter types.
- Require citation checks and record material corrections.
- Keep matter permissions, confidentiality and client rules in place.
- Expand only after quality and adoption targets are met.
Good first pilot candidates
A useful pilot has bounded inputs, a known reviewer and an output whose quality can be scored. Consider:
- Review one agreement type against an approved playbook.
- Research a bounded question against authorities a senior lawyer already knows.
- Build a chronology from a closed-matter record.
Start with the workflow, not the licence count.
Use a private assessment to choose the first test and its success measures.