Flagship Agentic OS reference / Forlex
Agentic OS (HIVE) in high-consequence legal work.
Forlex is our flagship vertical deployment of Agentic OS (Forward HIVE). It powers multi-step legal research, document generation, customer vault indexing, and deterministic citation audits for legal professionals—running LIVIA S-Series models on Forward Grid.
Reported adoption / August 2026
240,000
Monthly active users reported for Forlex in August 2026.
An adoption reference. Workflow quality and acceptance are evaluated separately for each engagement.
Published infrastructure case / Forlex
The migration in numbers.
Forlex’s published case study describes its move to Amazon EC2 P6-B200 and related AWS and NVIDIA tools. AWS reports these changes in the Forlex infrastructure workload.
Read the AWS case study- Lower operating costs
- ~40%
- Lower time to first token
- ~67%
- More tokens processed per minute
- 170%
Reported for this Forlex migration. The published case does not state a measurement period or sample size. Define the baseline and acceptance criteria for your own workload before making a production decision.
Prepare your evaluation planForlex-specific controls
Review at the points that matter.
These layers describe the Forlex product. Other enterprise workflows need their own scoped controls and acceptance tests.
01 / Stateful runtime & MCP
Agentic OS · Forward HIVE
Orchestrates multi-step legal threads with tenant-isolated Vault, Jurisprudence, Legislation, and Document Processing MCP servers.
02 / Input review
OpenDetector
Screens inputs and attachments for prompt injection before they reach LIVIA models or invoke MCP tools.
03 / Deterministic citation audit
OpenJuris & Citation Gate
Verifies every statutory and jurisprudence citation against authoritative corpora before terminal output delivery.
04 / Document faithfulness
OpenContracts
Checks generated clauses and summaries against source vault documents with human approval checkpoints.
Define the proof for your workflow.
Agree the baseline, evaluation set, quality threshold, human review and acceptance criterion with your team. Then assess response time and total cost per accepted result.
Prepare your evaluation plan